Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate to join an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.</p><br><br> <p>Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will directly inform fisheries management, marine conservation, and habitat restoration across the UAE.</p><br><br> <p>The successful candidate will lead the spatial ecology and habitat mapping components of the project by integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products.</p><br><br> <p>The Post-Doctoral Associate will collaborate closely with project staff to design field campaigns, develop sampling strategies, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance workflows while preparing scientific manuscripts, technical reports, maps, visualizations, and presentations for project partners and government stakeholders.</p><br><br> <p>Additional responsibilities include engaging with Emirates Nature–WWF, government agencies, and other stakeholders to communicate research findings and support the translation of science into management and policy outcomes. The successful candidate will also contribute to the broader research activities of Mubadala ACCESS through mentoring junior researchers and students, participating in proposal development, and contributing to peer-reviewed publications.</p><br><br> <p>Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD.</p><br><br> <p>The ideal candidate will have demonstrated experience conducting independent marine spatial analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable.</p><br><br> <p>Candidates should have experience integrating biological, environmental, and spatial datasets and possess excellent written and verbal communication skills with a strong publication record in marine ecology, habitat mapping, fisheries ecology, or environmental science. Experience conducting marine field surveys, including SCUBA certification, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required.</p><br><br> <p>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references will be requested from shortlisted candidates.</p><br><br> <p>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu</p><br><br> <p><strong>About NYU Abu Dhabi</strong></p><br><br> <p>https://nyuad.nyu.edu/en/</p><br><br> <p>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.</p><br><br> <p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p><br><br> <p>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.</p><br><br> <br> <p><strong>Working for NYUAD</strong></p><br><br> <p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.</p><br><br> <p> Visit our website for more information on benefits for you and your dependents.</p><br><br> <p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</p><br><br> <p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p><br><br> <p><strong> Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></p><br><br> <p>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</p><br><br> <p>@WorkAtNYUAD</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Who We Are</b></p><br><br><br><p>At JINGDONG Logistics (JD Logistics), part of JD.com, we are a leading technology-driven supply chain and logistics solutions provider under JD.com. Built on deep expertise in automation, smart fulfilment, and data intelligence, we operate end-to-end logistics services that empower businesses and enhance customer experience. Our integrated networks span warehouse management, line-haul transportation, last-mile delivery, bulky items logistics, cold chain, and cross-border operations, ensuring speed, reliability, and precision at every stage.</p><br><br><br><p><b>Our Global Reach</b></p><br><br><br><p>JINGDONG Logistics has developed one of the most extensive logistics infrastructures in the world, managing more than 3,600 warehouses with over 34 million square meters of space. Our Global Smart Supply Chain Network combines highly automated warehousing with robust international transportation solutions, enabling seamless cross-border movement. Today, we operate 130+ bonded, direct mail, and overseas warehouses across 23 countries and regions, supported by our global brands, JoyLogistics and JoyExpress, as we continue scaling JD.com’s international logistics footprint.</p><br><br><br><p>Learn more about who we are and what we do: <span><u>https://www.jingdonglogistics.com/</u></span></p><br><br><br><p><b>What We Offer</b></p><br><br><br><p>Joining JD Logistics means helping shape the future of global supply chain and logistics. You’ll work with smart warehousing, autonomous delivery, and innovative technology that keeps goods moving worldwide. With a competitive salary, great locations, and a supportive, people-first culture, you’ll have the space to take on meaningful challenges, grow your skills, and make a real impact in a fast-evolving industry.</p><br><br><br><p><b>About The Team</b></p><br><br><br><p>You’ll be joining the JINGDONG Logistics team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.</p><br><br><br><br><br>Key Responsibilities<ul><li>Own the labour planning strategy across all UAE warehouse operations, ensuring optimal deployment of manpower to meet operational demand while minimizing cost.</li><li>Develop and continuously enhance AI-driven labour planning tools to optimize workforce allocation, scheduling, productivity, and operational performance.</li><li>Design and maintain manpower planning models capable of managing complex warehouse operations consisting of 30+ operational roles and multiple cross-training requirements.</li><li>Analyse operational performance to identify bottlenecks, capacity constraints, labour waste, idle hours, and productivity improvement opportunities.</li><li>Develop strategies to balance labour capacity across multiple warehouse locations while maintaining service levels and minimizing overtime and operational cost.</li><li>Create forecasting models based on business demand, seasonality, order profiles, and operational trends to support accurate workforce planning.</li><li>Establish labour standards and productivity benchmarks, ensuring manpower plans are aligned with operational targets and customer requirements.</li><li>Develop dashboards, reporting tools, and real-time decision-support models that provide visibility into labour utilisation, productivity, capacity, and operational performance.</li><li>Lead continuous improvement initiatives focused on labour optimisation, process efficiency, cost reduction, and operational excellence using Lean methodologies.</li><li>Partner closely with Operations, Finance, HR, and Engineering teams to develop long-term workforce strategies, hiring plans, and operational improvement roadmaps.</li><li>Lead strategic projects focused on automation, AI adoption, and digital transformation of workforce planning processes.</li><li>Provide regular insights and recommendations to senior leadership through data analysis, scenario modelling, and business case development to support strategic decision-making.</li></ul><br><p><b>Job Requirements:</b></p><br><br><ul><li>Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Engineering, Computer Science, Business Analytics, Business, or a related field; Master’s degree is a plus.</li><li>5–8+ years of experience in workforce planning, warehouse operations, industrial engineering, operations excellence, or supply chain strategy within logistics, e-commerce, or contract logistics environments.</li><li>Proven experience developing and implementing labour planning strategies for complex warehouse operations, including multi-site workforce allocation and productivity optimization.</li><li>Demonstrated experience planning manpower across multiple facilities while balancing operational demand, labour cost, service levels, and productivity.</li><li>Strong understanding of warehouse operations, including inbound, outbound, inventory management, replenishment, value-added services, and fulfilment processes.</li><li>Proven experience managing complex labour structures involving multiple operational roles, cross-training requirements, certification levels, and workforce flexibility.</li><li>Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred), with experience in waste elimination, bottleneck analysis, process optimization, capacity balancing, and productivity improvement.</li><li>Demonstrated ability to identify operational bottlenecks, labour inefficiencies, idle capacity, and waste hours through data-driven analysis and implement sustainable improvement initiatives.</li><li>Experience developing labour standards, forecasting models, staffing algorithms, and manpower planning frameworks to support operational decision-making.</li><li>Proven experience leveraging Artificial Intelligence (AI), advanced analytics, or machine learning to improve workforce planning, forecasting, scheduling, or operational decision-making.</li><li>Strong capability in developing analytical and decision-support tools using Python, SQL, Power BI, Microsoft Excel (advanced modelling), VBA, or similar technologies.</li><li>Excellent analytical and problem-solving skills with the ability to structure complex operational challenges and translate data into practical, scalable solutions.</li><li>Strong understanding of capacity planning, scenario modelling, simulation techniques, and workforce optimization methodologies.</li><li>Experience working with operational KPIs including productivity (UPPH), labour utilisation, throughput, cost per unit, SLA adherence, and operational efficiency.</li><li>Proven project and program management experience, with the ability to lead multiple cross-functional initiatives simultaneously.</li><li>Excellent stakeholder management and collaboration skills, with experience partnering across Operations, Finance, HR, Engineering, Commercial, and Technology teams.</li><li>Strong communication and presentation skills, with the ability to present complex analysis and influence senior leadership.</li><li>Fluent in English (required); proficiency in Chinese is a strong advantage.</li><li>Comfortable working in a fast-paced, high-growth environment with a high degree of ownership and accountability.</li></ul><br><p><b>Nice-to-Have Qualifications</b></p><br><br><ul><li>Experience developing AI-powered workforce planning, scheduling, or labour optimisation solutions.</li><li>Experience with Operations Research techniques such as linear programming, optimisation algorithms, or simulation modelling.</li><li>Experience with Warehouse Management Systems (WMS), Labour Management Systems (LMS), warehouse automation, or robotics.</li><li>Experience within e-commerce, third-party logistics (3PL), or high-volume fulfilment operations.</li><li>Experience managing workforce planning across multiple countries or regions.</li><li>Lean Six Sigma Black Belt certification.</li><li>Familiarity with Generative AI technologies and their application within warehouse operations, process automation, and decision support.</li></ul><br><p><i>At JINGDONG Logistics, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.</i></p><br><br><br><p><b>Ready to apply?</b></p><br><br><br><p>Take the next step in your career, apply now and explore the opportunities we have to offer.</p><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br> &nbsp;</p><br><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br> &nbsp;</p><br><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><br><br>Job Description<br><p>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.</p><br><p>As a <strong>Sr. Data Scientist (AI &amp; ML) on the global AI hub</strong>, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle,&nbsp; from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.</p><br><p><strong>Responsibilities</strong></p><br><ul><li><p>Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.</p><br></li><li><p>Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.</p><br></li><li><p>Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.</p><br></li><li><p>Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.</p><br></li><li><p>Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.</p><br></li><li><p>Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.</p><br></li><li><p>Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.</p><br></li><li><p>Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.</p><br></li><li><p>Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.</p><br></li><li><p>Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.</p><br></li><li><p>Mentoring other data scientists in their growth journeys.</p><br></li><li><p>Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.</p><br></li></ul><br>Qualifications<br><p><strong>Technical Experience</strong></p><br><ul><li><p>Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.</p><br></li><li><p>Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).</p><br></li><li><p>Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.</p><br></li><li><p>Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.</p><br></li><li><p>Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.</p><br></li><li><p>Excellent SQL and competence with reproducible analysis and modeling in Python.</p><br></li><li><p>Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.</p><br></li><li><p>Familiarity with data modeling and dimensional design.</p><br></li><li><p>Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.</p><br></li><li><p>Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</p><br></li><li><p>Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</p><br></li><li><p>Familiarity with BigQuery and the Google Cloud Platform is a plus.</p><br></li></ul><p><strong>Qualifications</strong></p><br><ul><li><p>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</p><br></li><li><p>5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.</p><br></li><li><p>Experience building ML systems in an online consumer product setting is a plus.</p><br></li><li><p>A good problem solver with a 'figure it out' growth mindset.</p><br></li><li><p>An excellent collaborator.</p><br></li><li><p>An excellent communicator.</p><br></li><li><p>A strong sense of ownership and accountability.</p><br></li><li><p>A 'keep it simple' approach to #makeithappen.</p><br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Our hosting team delivers InterSystems’ solutions as hosted or managed services, anywhere in the world.&amp;nbsp; As more and more clients change to hosted solutions, we are looking for junior and senior systems engineers to join the team and help us with delivering the high levels of availability, performance and security that our clients have come to rely on.</p><br><p>The role offers a fantastic opportunity to gain experience across a range of technologies, to solve interesting problems, to be allowed to make improvements, and to be recognized for making a difference.</p><br><p><strong>Responsibilities - Deployment</strong></p><br><ul><li>Work with our co-location partners to design appropriate cage, rack and server layouts and to ensure the ongoing provision of space, power and cooling in support of existing and forecasted solutions.</li><li>Work with the engineering/architecture teams to design solutions so as to maximize performance, efficiency and operability of hosted solutions.</li><li>Lead and/or participate in the provisioning and deployment of server, network and other hosting-related equipment, including hands-on build and configuration as/when required</li><li>Participate in the deployment of new applications and/or changes, ensuring that all service components are documented and monitored and integrated into the company’s operational processes.</li><li>Perform hardware qualification testing on new hardware platforms and certify them for production deployments.</li><li>Work with stakeholders across the solutions lifecycle to ensure that pre-operational sign-offs are obtained, so as to ensure that solutions can be operated in a way that meets or exceeds performance targets e.g. security, availability and response times.</li><li>Assist with the troubleshooting of integration issues.</li><li>Consulting with technical stakeholders (including customers) on the delivery of hosted solutions.</li></ul><p><strong>Responsibilities – Operations</strong></p><br><ul><li>Hands-on administration and maintenance of hosted solutions and related infrastructure (firewalls, switches, servers, storage, etc.) including pro-active identification and fixing of potential incidents, backup management, etc.</li><li>Participate in the definition, documentation, operation and continuous improvement of operational processes e.g. ITIL-based processes such as incident, change, problem and configuration management, and the smooth integration of these with wider company processes and systems.</li><li>Define, implement, monitor and report on metrics that are required for the delivery of highly-available hosted services, as well as to meet the needs of the wider organization e.g. management, engineering, customer services and our customers.</li><li>Provide technical support for all areas of hosted services, including participation on a 24x7 on-call rota; ensure the timely resolution of incidents and/or problems affecting hosted solutions and deploy approved changes and/or updates as required.</li><li>Further enhance the automation of hosting-related processes e.g. deployment of changes, deployment of new services, inventory management, security scanning, service level reporting, etc.</li></ul><p><strong>Experience &amp;amp; Qualifications</strong></p><br><ul><li>Strong hands-on experience with server hosting (e.g. data center) infrastructure and (ideally) management with Cisco UCS blades</li><li>Hands-on storage/SAN deployment and (ideally) management experience with EMC Unity, Data Domain, Avamar. Dell D?</li><li>Hands-on Cisco and F5 networking deployment and management experience with Cisco Nexus 7000/9000, ASA Firewalls, F5 LTM and DNS load balancers, route domains and contexts. Active Directory/Windows – More Linux &amp;gt; Windows</li><li>Hands-on VMware deployment and management experience with VMware 6.x/7.x 8</li><li>Hands-on Linux deployment and management experience with RHEL 7.x</li><li>Hands-on Windows domain and AD management experience</li><li>Strong troubleshooting skills</li><li>Strong scripting skills</li><li>Enthusiasm and talent for acquiring complex technical skills</li><li>Good customer service attitude</li><li>Knowledge of service monitoring and alerting (Nagios, Cacti preferred)</li><li>Knowledge of configuration management (Puppet and/or Red Hat Satellite preferred)</li><li>Scripting for automation using technologies (e.g. Powershell, Puppet, Ansible, Python)</li><li>ITIL knowledge – principles and application</li><li>Ability to support and develop junior colleague</li></ul><p>&amp;nbsp;</p><br><p><strong>About InterSystems</strong></p><br><p>InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit&amp;nbsp;<strong>InterSystems.com</strong>.</p><br><p>&amp;nbsp;</p><br><p><strong>AI Disclaimer</strong></p><br><p>InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). &amp;nbsp;InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.</p><br><p>Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. &amp;nbsp;AI tools and third-party transcription services must not be used during interviews or assessments.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ABOUT US | Whiteshield is an AI-native sovereign intelligence company helping governments move from insight to action and from planning to continuous adaptation.<br> Its platform combines workforce intelligence, economic intelligence and adaptive policy applications to support decision-makers in real time.<br> Founded in 2011, the company combines public policy expertise, proprietary data assets and AI-enabled applications to support decision-makers across workforce development, economic competitiveness and societal transformation.<br> With principal operations in Dubai (DIFC) and Riyadh and a global footprint spanning the Middle East, Europe, Africa, Eurasia and Asia, Whiteshield serves governments, sovereign institutions, multilateral organisations and leading corporations worldwide.<br> Its technology portfolio equips leaders with decision intelligence, workforce intelligence and adaptive policy solutions.<br> Whiteshield’s mission is to help build adaptive societies where every citizen can learn, provide and connect.<br> WHERE YOU FIT IN | We’re a high-velocity, impact-driven team building software and data-driven solutions at the edge of innovation.<br> Whether launching products from zero to one or helping clients adapt to emerging technologies, we operate in dynamic environments where experimentation, rapid delivery, and collaboration are constant.<br> AI isn’t an add-on here - it’s embedded in how we design, build, test, and ship.<br> From AI-assisted coding and automated test generation to intelligent architecture reviews and data-driven decision loops, we leverage AI-native workflows to move faster and build smarter.<br> We’re looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling.<br> You won’t just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.<br> You’re a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality.<br> You’ve built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure.<br> You’re comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC.<br> You’re also client-savvy.<br> You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies.<br> You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces.<br> You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.<br> WHAT YOU WILL DO | ❖ Architect and build scalable, innovative software solutions; internally and for clients ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner ❖ Rapidly prototype, iterate, and validate solutions using modern technologies ❖ Balance short-term deliverables with long-term vision for scalable systems ❖ Work across cross-functional teams to align product goals, timelines, and execution ❖ Mentor junior engineers and contribute to growing a culture of technical excellence ❖ Evaluate new technologies to be implemented at scale for citizen impact ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery OUR CORE TECH STACK (Flexible) | ❖ Backend: C# / .<br>NET / Python ❖ Frontend: React / Next.<br>js ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB ❖ Cloud: Azure or Google ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code PERKS AND OPPORTUNITIES | Accelerated Career Trajectory We operate a performance-driven environment with clear progression pathways Seamless Relocation For those relocating - we provide comprehensive transition support including visa sponsorship and relocation assistance enabling you to integrate quickly and focus on delivery from day one.<br> Supporting Your Performance We provide Tier 1 global medical coverage, wellbeing support, family allowances where applicable and structured savings plans.<br> Helping Teams Perform We work on complex high-impact engagements that demand intensity and ownership.<br> At the same time we are mindful of the impact this can have and aim to support sustainable performance over time through offering generous annual leave, flexible work arrangements and opportunities to connect beyond the day-to-day through retreats and team events.<br> WHAT YOU’LL BRING | ❖ 6+ years of professional software engineering experience ❖ Expertise with C# and .<br>NET Core, including building APIs and backend systems ❖ Proficiency in React and/or Next.<br>js for modern frontend development ❖ Experience working with cloud services (Azure, AWS, or GCP) ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings ❖ A passion for learning and working with emerging technologies ❖ Ability to work independently in fast-paced, dynamic environments ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices Bonus Points For: ❖ Prior consulting, agency, or client-facing experience ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools ❖ Open-source contributions or published technical content ❖ Familiarity with data science workflows or machine learning integration</span> </div>

Location: Abu Dhabi, United Arab Emirates<br><br>In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.<br><br>Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.<br><br>OUR OPPORTUNITY<br><br>Every day, hundreds of thousands of airplanes take off and land around the world, and millions of passengers hope to arrive at their destination quickly, safely, and without delay.<br><br>As a global leader in Air Traffic Management, Thales AMS's software and hardware systems are deployed in 170 countries.<br><br>Top Sky - Flow Manager relies on Thales’ ATC, Safety and Security unique expertise in Air Traffic Management to help Air Navigation Service Providers monitor and regulate air traffic flows by managing the allocation of departure slots, arrival times, and en-route delays to prevent congestion and maintain safe and efficient operations within the airspace system.<br><br>Thales and our partner are joining efforts to establish a new development center in the UAE. This collaboration aims to accelerate the development of advanced ATFM features within the Top Sky - Flow Manager suite and to deploy this new generation of ATFM services in this rapidly growing air traffic region<br><br>JOB OBJECTIV<br><br>This role will directly report to the onshore Software Engineering Manager for the assigned project within the UAE.<br><br>The Software Engineer must proactively work within an agile team on a service-oriented architecture.<br><br>He must have practical understanding, be force of proposal,be open to change, continuously improving his technical skills and like to work in an agile environment.<br><br>You will contribute to the solution definition and development, in close collaboration with Product Owner and the Teach Lead of the team in UAE by:<br><br>Contributing of the transformation of some business needs to Technical Req and give inputs for planning together with the team members,Participate to the design and development of services, components by collaborating with other software solutions engineer to share knowledge and improve overall product/solution<br><br><br>Roles & Responsibilities<br><br>The Software Engineer must have the following competencies:<br><br>Implement Rich web interface development (Java Script, HTML-5, CSS3, Vue JS, Angular ) Implement Software components developments (Java, Maven, Vert. X, , Spring Boot, REST) Take part in Continuous Integration Responsibility (Jenkins, Maven, Artifactory, Git, Jira, Sonar) Have ownership of his code, participate in the deployment and accompany it to production (practice in Ansible, Bash, SSH, Linux, Docker) Be an Active part of the Agile team Ensure the Code best practices and rules, TDD, time commitments. Participate on technical decisions and be able to defend and justify his own and the team choices Be the go to person for technical challenges Write high quality documents (e.g. technical documents, Low Level Design, ICD, High Level Designs, How-To documents, Software Requirement Specifications etc.) Adhere to project schedule, strategies, policies and constraints<br><br><br>Work Experience Requirements<br><br>The candidate must have rich hands-on experience in JAVA development and Java Script frameworks (one of Angular, React JS or Vue JS).<br><br>Master’s or Bachelor degree from an Engineering school and3+ years experience in development with high fluency in Java and Web user interface development.2+ years of Experience with Docker and Kubernetes technologies2+ Experience of Web protocols and technologies, RESTful Web services A pre-requisite is a strong knowledge of different architectural paradigms, including SOA and micro service, cloud native architectures, Dev Ops, SDLC and OOP Design best practices. Demonstrable experience in using tools related to Agile Software development and Dev OPS: GIT, Ansible, Docker, JIRA, Jenkins, Artifactory and similar. Must have technical writing experience (in English) and ability to produce high quality documents. Must be fluent in English Knowledge and experience of Linux System is mandatory Knowledge and experience of Databases and SQL is mandatory Candidates with additional knowledge in Python, C, C++ will be considered seriously.<br><br><br>Qualification, Certification & Educational Requirements<br><br>A bachelor’s or master’s in science degree standard or equivalent experience in a Software development environment Must have high fluency in spoken and written English (Candidates also fluent in French or/and Arabic will be preferred). Certifications in JAVA, Linux, Dev Ops toolset and Agile are preferred<br><br><br>Preferred Skills / Experience<br><br>A working experience with Air Trafic Conctrol or in Avionic constraints environment would be beneficial.<br><br>Hse Responsibilities<br><br>Take care of your own safety and the safety of others as far as it is practicable<br><br>To use safety equipment (including PPE) as required and intended<br><br>At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

Job Description<br><br>We're not hiring a security engineer to keep up with threats. We're hiring someone to make threats irrelevant before they become incidents.<br><br>We're looking for a Red Team Lead/Operator who thinks like an adversary, not an auditor. Someone who continuously emulates real-world attackers, challenges assumptions, and exposes the gaps that automated defenses miss. You'll lead offensive security operations across our infrastructure, applications, cloud, and people - turning every engagement into detections, automation, and resilience. The goal isn't to prove we can be breached. It's to make the platform smarter with every attack.<br><br>Why This Matters<br><br>Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders across the globe, around the clock, across regulatory environments. At this scale, a misconfigured WAF rule or undetected lateral movement isn't a technical inconvenience - it's a trader's funds at risk and a regulator on the phone.<br><br>Our Security Operations team isn't defending a perimeter. We're protecting a living, distributed system that processes transactions 24/7. When the threat surface never sleeps, your detection and response capabilities can't either - which is exactly why we're embedding AI and automation at every layer of the security stack.<br><br>The Challenge<br><br>$600B moves through this platform every month. That kind of scale attracts real adversaries: state-sponsored crews, financially motivated groups, insiders. Not hypothetical threat models, actual ones, actively working against us.<br><br>That's the environment. Not a lab. Not a CTF. A live financial platform under real pressure, defended by a security org that runs its own incident response instead of reading about breaches in the news.<br><br>We need someone who can operate like the people already trying to get in. Full kill chain, no shortcuts, no "we found SQLi and called it a day" energy.<br><br>If your idea of a challenging week is a scoped web app pentest with a checklist, this isn't for you. If you want to run against cloud, identity, source code, and now AI agents with tool access and memory, keep reading.<br><br>Why Deriv<br><br>We already run our own incident response and purple-team our findings straight into detections, not a compliance exercise, an active discipline with real fallout when it's wrong. Our security org is starting to red-team AI agents with tool access and memory, work most companies haven't figured out how to even scope yet. You'll get hands-on production experience that would take far longer to accumulate at a single-product company.<br><br>We share what we learn. Deriv is where we write about what we're building, what breaks, and what we figure out the hard way.<br><br>What You’ll Do<br><br>Plan and execute full-kill-chain red team engagements: initial access, privilege escalation, lateral movement, persistence, and objective completion, mapped to MITRE ATT&CKDesign and run social engineering and physical/insider threat simulations, informed by real-world TTPsAttack cloud environments, Kubernetes, and CI/CD pipelines, identifying misconfigurations and privilege escalation paths before real attackers do Conduct source code analysis and application-layer exploitation against trading, payments, and internal platforms Red-team our AI agent stack: prompt injection, tool-calling abuse, agent-to-agent trust boundaries, and credential exposure in agentic workflows Build and maintain custom tooling, C2 infrastructure, and payloads that evade modern detection stacks Write engagement reports and executive summaries that lead to actual remediation, not shelf-ware Partner with SOC and Threat Hunting to run purple-team exercises, closing detection gaps you exploited Mentor L1/L2 operators and contribute to the offensive security capability roadmap <br><br>Who You Are<br><br>6+ years doing actual offensive security. Full-scope red team, not a string of scoped pentests OSCP required. OSCE, OSEP, OSED, CRTO or equivalent adversary simulation cert gets you a real look Real depth in at least three of: internal AD/network exploitation, cloud attack paths (AWS/GCP), web/API exploitation, custom C2 development, social engineering/physical, mobile You can write your own tooling and implants in Python, Go, or Rust. Not just running Cobalt Strike out of the box You've operated against modern EDR-instrumented environments and know what it actually takes to not get caught You understand blast radius in a regulated fintech and know how to break things without breaking the business You can write a report that gets fixed, not filed<br><br>The Honest Reality<br><br>You'll sit inside a Security & AI Engineering org that treats offensive security as a real discipline, not a line item for the compliance audit.<br><br>You'll work across Dubai and Malaysia with a team that runs actual incident response, not tabletop exercises with fake scenarios.<br><br>You'll have a direct line from finding a hole to it getting closed, and room to build the tooling and run the engagements that shape how we red-team the AI agents everyone else is still figuring out how to even think about.<br><br>Job Details<br><br>Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.deriv.com/careers Job Function: Information Technology (IT) Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Responsibilities<br><br>About the Team<br><br>We are upgrading the traditional procurement system into an AI-native procurement platform, with a strong focus on building Procurement Agents. As part of Byte Dance's Corporate Information department, we design and operate corporate service systems that support the company's global business growth and improve the day-to-day work efficiency and experience of employees worldwide.<br><br>Procurement is a complex, high-value domain full of long workflows, rich business rules, and real decision-making. It is one of the most promising places to apply cutting-edge AI Agent technologies to real, large-scale problems. We are reimagining how employees and business partners interact with procurement through intelligent agents, and building the underlying System AI Harness that lets agents plan, act, and deliver reliably.<br><br>As an intern, you will work alongside experienced engineers at the frontier of AI Agent engineering, get hands-on with real problems from day one, and receive mentorship to grow quickly. It is a great opportunity to explore emerging AI technologies, learn how a complex business domain works end to end, and make a real contribution during your internship.<br><br>We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.<br><br>Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.<br><br>Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.<br><br>Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Support the construction and cutting-edge exploration of Procurement Agents and the System AI Harness, contributing to feature design, implementation, and validation under the guidance of your mentor. Develop and maintain services, business logic, and data flows that power AI-native procurement, with attention to code quality and reliability. Explore AI Agent capabilities — such as planning, tool use, memory, and multi-step reasoning — and help turn them into working features that solve real procurement problems. Build quick prototypes, experiment with emerging AI techniques, and help translate promising ideas into practical product capabilities. Collaborate with product managers, designers, and engineers to break down problems and deliver complete solutions.<br><br><br>Qualifications<br><br>Minimum Qualifications<br><br> Currently enrolled in a bachelor's, master's, or PhD program in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic/Information Engineering, Mathematics, or a related field, with a solid academic record. Able to intern for a continuous period (ideally 3 months or more) and available for at least 3 days per week. Solid foundation in data structures, algorithms, and software engineering fundamentals from coursework or projects. Proficiency in at least one programming language (Golang / Java / Python), with good coding habits. Strong logical thinking, fast learning ability, and excellent independent thinking and problem-breakdown skills. Genuine curiosity and passion for exploring and applying frontier AI technologies; prior professional work experience is not required.<br><br><br>Preferred Qualifications<br><br> Coursework, research, or personal projects related to AI / machine learning / large language models. Prior internship, lab, open-source, or personal project experience demonstrating hands-on ownership of a non-trivial system (a strong plus, but not required). Exposure to LLM-based systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks. Experience building small AI-powered applications, Agent-based demos, or developer productivity tools. Achievements in programming competitions (e.g., ACM/ICPC, Kaggle), research publications, or high-quality open-source contributions. A proactive, self-motivated mindset and strong drive to turn ideas into working products.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities<br><br>About the Team<br><br>We are upgrading the traditional procurement system into an AI-native procurement platform, with a strong focus on building Procurement Agents. As part of Byte Dance's Corporate Information department, we design and operate corporate service systems that support the company's global business growth and improve the day-to-day work efficiency and experience of employees worldwide.<br><br>Procurement is a complex, high-value domain full of long workflows, rich business rules, and real decision-making. It is one of the most promising places to apply cutting-edge AI Agent technologies to real, large-scale problems. We are reimagining how employees and business partners interact with procurement through intelligent agents, and building the underlying System AI Harness that lets agents plan, act, and deliver reliably.<br><br>Here, you will work at the frontier of AI Agent engineering while developing deep, end-to-end knowledge of a complex business domain. You will have the opportunity to explore emerging technologies and contribute meaningfully to both our products and technical foundations from an early stage in your career.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Focus on the construction and cutting-edge exploration of Procurement Agents and the System AI Harness, taking ownership from design and implementation through validation, release, and continuous improvement. Design, develop, and maintain the core services, business logic, data flows, and system integrations that power AI-native procurement, with attention to maintainability, scalability, performance, and operational stability. Explore and implement AI Agent capabilities — such as planning, tool use, memory, and multi-step reasoning — and turn them into reliable, production-grade features that solve real procurement problems. Prototype quickly, evaluate emerging AI techniques, and translate promising research and ideas into practical product capabilities. Collaborate closely with product managers, designers, and engineers to break down complex and ambiguous problems and deliver complete, end-to-end solutions.<br><br><br>Qualifications<br><br>Minimum Qualifications<br><br> Currently pursuing or recently completed a bachelor's degree or above in Computer Science, Software Engineering, or a related field, and eligible for the 2027 campus hiring program. Proficiency in one or more programming languages (Golang / Java / Python), with solid programming fundamentals and good coding habits. Solid system design and coding implementation capabilities, with the ability to design, build, test, and maintain complete features. Experience with AI-related projects or research, a strong sense of innovation, and outstanding hands-on skills. High intelligence, strong logical thinking, and excellent independent thinking and problem-breakdown abilities. Strong curiosity and self-motivation, with a genuine passion for exploring and applying frontier AI technologies.<br><br><br>Preferred Qualifications<br><br> Hands-on experience building AI-powered applications, Agent-based products, AI Coding tools, or other developer productivity solutions. Experience with LLM-based systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks. Internship, academic, open-source, or personal project experience demonstrating end-to-end ownership of a non-trivial system. Experience improving system performance, engineering efficiency, or stability in real-world projects. Achievements in top-tier competitions, research publications, or high-quality open-source contributions. A proactive mindset and strong drive to turn emerging AI technologies into practical, high-impact products.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Purpose<br><br>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as a HR Specialist - Governance & Compliance and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.<br><br>As HR Specialist - Governance & Compliance you will support the Governance & Compliance practices of the HR department by leveraging industry best practice. You will collaborate with all HR teams and other relevant internal stakeholders, such as Operations, Internal Audit and Enterprise Data & Analytics (ED&A). Through applying Governance and Compliance practices, the role’s primary purpose is to facilitate efficient and rewarding employee experiences across all people lifecycle dimensions, such as performance management, productivity, learning and professional development, attrition and retention. You will apply process improvement and standardisation frameworks, quality assurance (management & control) principles and continuous monitoring compliance controls across process, system, and data landscapes and support Enterprise Strategic Themes such as Regulatory Compliance, Business Agility & Efficiency, Business Growth, and Employee Experience.<br><br>In This Role, You Will<br><br>Enable process governance by conducting, in collaboration with the People Experience Design team, process landscape assessments across the People Experience lifecycle and the wider One HR organisation to determine process effectiveness, eliminate inefficiencies, and implement innovative solutions, including chatbots, AI-driven process steps, and Robotic Process Automation (RPA), while supporting the associated change management activities. Ensure all processes across the employee lifecycle are fully GDPR compliant and aligned with international best practices. Support industry research to identify best practices in process governance, automation, and business process improvement, while validating and collating current and future process, technology, and data needs across the One HR organisation. Champion a culture of autonomy, openness, and continuous process improvement based on Lean-Agile principles. Support the implementation of the One HR Data Governance Strategy, ensuring alignment with Emirates Group corporate governance and compliance requirements across Data Protection (Access, Security and Privacy), Data Quality Assurance, and Metadata Management. Perform data governance operational activities in collaboration with Enterprise Data & Analytics (ED&A), business Data Stewards, and Business Privacy Leads to ensure people data is governed effectively and treated as a corporate asset across HR systems and the Enterprise Data Platform (EDP). Support the HR Data & Analytics function in defining a self-service analytics model and enable data risk and compliance practices through collaboration with HR Data & Analytics and HR Shared Services & Employee Data Management teams. In collaboration with the HR Governance & Compliance Manager, implement and maintain an internal quality and control framework by evaluating process risk profiles, implementing appropriate controls, and continuously monitoring their effectiveness. Support knowledge management practices by maintaining People Experience manuals, Standard Operating Procedures (SOPs), and user-owned documentation, ensuring they remain accurate, compliant, and aligned with changing business requirements, system upgrades and process improvements. Facilitate the adoption of process and data governance across the One HR organisation through coaching, Lean Academy initiatives, Business Privacy Lead and Analytics Power User training, systems and SOP training, and data management best practices.<br><br>Qualification<br><br>To be considered for this role, you must meet the below requirements:<br><br>A minimum of 5 years' relevant experience in one or more of the following areas: Industrial Engineering, process improvement methodologies (e.g. Lean, Six Sigma, Supply Chain Management), project management, business consultancy, innovation and Robotic Process Automation (RPA), or compliance/audit within a business environment. Bachelor's degree in a relevant discipline, such as Industrial Engineering, Business Administration, Operational Research, Commerce, Finance, or Information Technology. Experience within the airline industry and/or working with HR systems and products is desirable.<br><br>You Will Have An Edge, If You Have<br><br>Proven ability to build trusted relationships and collaborate effectively across diverse teams and stakeholders. Strong stakeholder management, presentation, communication, and multitasking skills, with the ability to work across multiple departments and competing priorities. Knowledge of HR environments, Oracle ERP, or other leading HR systems, together with strong analytical skills and the ability to translate data into actionable business insights. Experience with analytics, data governance, and reporting tools such as Power BI, Micro Strategy, SAP Business Objects (SAP BO), SQL, and Python, along with experience working in a multicultural environment.<br><br>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a Hire Vue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.<br><br>You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it’s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Purpose</span><p><span>This role is accountable for enterprise-wide operational risk transformation and leads the functional roll-out of major transformation programmes. The role represents the Operational Risk function at senior governance forums and acts as the primary external regulatory representative for operational risk system infrastructure matters.</span></p><br><span>Key Responsibilities</span><span>Project Delivery &amp; Ownership</span><ul><li><span>Deliver Operational Risk project roadmaps in collaboration with stakeholders.</span></li><li><span>Lead Operational Risk projects and portfolio analysis initiatives.</span></li><li><span>Act as a liaison between Business and IT teams.</span></li><li><span>Coordinate with Business, Risk, IT and external vendors to ensure successful project outcomes.</span></li><li><span>Facilitate working groups and obtain stakeholder consensus.</span></li><li><span>Drive automation and process simplification using tools such as SAS, Python and Power BI.</span></li><li><span>Manage vendors throughout requirements gathering, design and UAT phases.</span></li><li><span>Ensure IT deliverables are completed within agreed timelines.</span></li><li><span>Recommend implementation alternatives and obtain senior management approvals.</span></li><li><span>Lead functional discussions during senior management forums.</span></li><li><span>Ensure infrastructure capabilities support regulatory, audit and management reporting requirements.</span></li><li><span>Drive closure of audit observations owned by Risk teams.</span></li></ul><span>Insurance Management</span><ul><li><span>Manage annual renewals and ensure no gaps in insurance coverage.</span></li><li><span>Maintain policy documentation, endorsements, warranties and coverage schedules.</span></li><li><span>Benchmark insurance arrangements against GCC banking peers.</span></li><li><span>Manage broker relationships and service delivery.</span></li><li><span>Maintain insurance claims registers and oversee recovery and notification processes.</span></li></ul><span>Compliance &amp; Regulatory Management</span><ul><li><span>Ensure compliance with internal policies and procedures.</span></li><li><span>Analyse new CBUAE regulations impacting Operational Risk.</span></li><li><span>Conduct gap assessments and compliance planning.</span></li><li><span>Own and coordinate closure of system infrastructure observations raised by regulators.</span></li></ul><span>Skills and Experience</span><span>Analytical Capability</span><p><span>Ability to understand business problems and deliver innovative solutions.</span></p><br><span>Market, Industry &amp; Business Awareness</span><p><span>Maintains deep understanding of banking industry trends, market developments and best practices.</span></p><br><span>Interpersonal Skills</span><p><span>Excellent written, verbal and presentation skills.</span></p><br><span>Leadership Capability</span><p><span>Demonstrates strong leadership and sound judgement, making informed decisions while consulting stakeholders appropriately.&nbsp;</span></p><br><span>Person Specification</span><span>Education</span><ul><li><span>Degree from a reputed institution (e.g. IIT or equivalent).</span></li><li><span>Professional qualification in Finance or Risk Management.</span></li><li><span>FRM or CFA qualification preferred.</span></li></ul><span>Experience</span><ul><li><span>More than 10 years of experience leading large, multidisciplinary teams.</span></li><li><span>Experience with risk systems and analytical models.</span></li><li><span>Proven delivery ownership of large-scale risk and transformation programmes.</span></li><li><span>Experience managing significant programme budgets.</span></li></ul><span>Knowledge &amp; Skills</span><ul><li><span>Strong understanding of operational risk platforms, fraud management and alert management systems.</span></li><li><span>Knowledge of banking regulations and risk management frameworks.</span></li><li><span>Sound understanding of wholesale and retail banking products.</span></li><li><span>Experience in data governance and risk technology transformation.</span></li></ul><span>Behavioural Competencies</span><ul><li><span>Original thinker with a positive attitude.</span></li><li><span>Strong team player.</span></li><li><span>Problem-solving mindset focused on improvement and continuous learning.</span></li></ul><p><span><strong>There’s never been a better time to join Emirates NBD.</strong></span></p><br><p><span>We’re one of the region’s most recognized banking brands and continue to invest in innovation, talent, and professional development. At Emirates NBD, you’ll have the opportunity to work alongside highly skilled professionals, contribute to strategic initiatives across the Group, and build a rewarding career in a dynamic and collaborative environment. We offer competitive benefits, flexible working opportunities where applicable, and an inclusive workplace that supports continuous learning and growth. We encourage interested candidates to review the key responsibilities and qualifications and apply for positions that match their skills and aspirations.</span></p><br><p><span>&nbsp;#LI-KS1</span></p><br><br> </div>

Who We Are<br><br>NEXT Ventures is a global fintech group powering Funded Next — one of the world's fastest-growing proprietary trading platforms — and FNmarkets, a regulated CFD brokerage. Across offices in Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai, we build and operate the technology that lets traders access global markets at scale. Our Platform Engineering team owns the infrastructure, reliability, and observability backbone that every product squad depends on.<br><br>Your Role in Our Mission<br><br>As our Database Reliability Engineer, you are the specialist who ensures our data layer never becomes the bottleneck. You own database performance, archiving pipelines, caching reliability, and BC/DR for the data tier that underpins all Funded Next services. Working within the Platform Engineering squad, you execute the scaling and optimization initiatives designed by the squad lead — and you are the reason our databases stay fast, durable, and cost-efficient as trading data and traffic grow.<br><br>How You'll Make An Impact<br><br>Data Performance & Scalability<br><br>Execute database optimization and scaling initiatives — implement partitioning strategies, sharding schemes, and replication configurations; independently diagnose and fix slow queries across the platform. Own performance diagnostics on high-volume tables — EXPLAIN plan analysis, index tuning, buffer cache hit-ratio investigation, lock contention, and replication lag on 100M+ row tables. Build and maintain data archiving pipelines — move historical records (trade logs, transaction data, audit trails) from production tables to cold storage (S3/Parquet/Athena/Glacier) while preserving query access for compliance and reporting. Implement and maintain data lifecycle automation — TTL policies, scheduled archival jobs, partition rotation, and retention enforcement. Conduct regular performance profiling across the data tier — identify bottlenecks in MySQL/Postgre SQL and the caching layer, then implement measurable fixes. Support load testing and capacity planning for the data layer — analyze growth trends, identify breaking points, and implement fixes before traffic growth causes production issues.<br><br><br>Data Reliability & Infrastructure<br><br>Implement and maintain data-tier BC/DR infrastructure — multi-AZ deployments, read replicas, Aurora Global Database/cross-region replication, backup schedules, and failover triggers targeting RTO/RPO under 5 minutes; participate in regular DR drills. Implement and maintain caching strategies (Redis, Elasti Cache) — cache invalidation logic, read-through/write-behind patterns, TTL hygiene, and cache hit-rate monitoring. Define and track reliability metrics (SLIs/SLOs) for the data layer — query latency, availability, replication health — and drive improvements against them. Implement monitoring, alerting, and observability for the data tier — dashboards, slow-query alerting, and replication/cache health monitoring targeting fast MTTD on data incidents. Maintain and improve database-level automation — stored procedures, dynamic partitioning scripts, and scheduled maintenance jobs.<br><br><br>Cross-Team Support<br><br>Collaborate with application and product squads to design schemas, indexes, and access patterns that scale. Remediate data-related security findings from the Cyber Security Squad — implement fixes and verify through retesting. Write and maintain infrastructure-as-code for data resources — Terraform or equivalent for reproducible, version-controlled provisioning. Document runbooks, archiving procedures, and operational guidance so any engineer can respond to data-tier incidents with clear guidance.<br><br><br>What You Bring<br><br>4–6 years of professional engineering experience, with at least 2 years in database-focused infrastructure work at moderate-to-high scale. Strong expertise in MySQL and Postgre SQL — EXPLAIN plan analysis, index design, partitioning, sharding, and replication setup — with direct experience on 100M+ row tables. Able to build data archiving pipelines to cold storage (S3/Parquet/Athena/Glacier) while keeping records queryable for compliance and reporting. Proficient with AWS managed database services — RDS and Aurora — including provisioning, read replicas, parameter group tuning, and monitoring; Aurora Global Database experience is a plus. Hands-on with Redis and Elasti Cache — cache invalidation patterns, TTL hygiene, hit-rate monitoring, and incident diagnosis. Automates archival, maintenance, and diagnostic work using Python and/or Bash. Familiar with monitoring and observability tooling (Prometheus, Grafana, Datadog, or similar) for slow-query alerting, dashboards, and data-tier incident analysis. Understands multi-AZ and cross-region DR architectures, backup strategies, and failover triggers targeting RTO/RPO under 5 minutes. Comfortable writing Terraform or Cloud Formation to provision data resources in a version-controlled, reproducible way. Can write and debug stored procedures and dynamic partitioning logic for database-level automation. Evidence-driven — profiles and measures before guessing; validates every optimization against before/after data. Performance-oriented — treats data-tier latency as a first-class reliability problem, not a tuning afterthought. Good communicator — works with product squads to shape schemas and access patterns, and explains data constraints clearly.<br><br><br>X-Factor: AI-Native Engineering<br><br>You actively use modern AI agentic workflows daily — not limited to Copilot autocomplete. You are proficient with Claude Code, Cursor, Windsurf, or equivalent tools. You are comfortable with project-level AI configuration (CLAUDE.md, rules files), agentic task delegation, and AI-driven code review. You think in terms of 5–10x productivity through AI-augmented development — and you can demonstrate it.<br><br><br>Your Journey After Applying<br><br>Stage 1 — TA Interview Stage 2 — Screening Questionnaire Stage 3 — Hiring Manager Interview Stage 4 — Head of IT Interview<br><br><br>Why Join NEXT<br><br>Work on data challenges at real scale — 100M+ row tables, 1TB+ databases, high-frequency trading transaction volumes. A team that treats database performance and data-tier reliability as first-class engineering problems, not DBAs on the side. Flat structure — your work directly shapes the platform's data infrastructure, not filtered through layers of process. Offices across Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai — a genuinely global engineering team. Competitive compensation benchmarked to your market, with room to grow as the team scales.<br><br><br>Experience level: Senior

About Revolut<br><br>People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.<br><br>As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.<br><br>About The Role<br><br>Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.<br><br>We’re looking for a Technology Services Specialist to lead our global MDM strategy and automate critical Saa S integrations. You'll ensure our fleet remains compliant while maintaining engineering autonomy.<br><br>Up to shape what’s next in finance? Let’s get in touch.<br><br>What You'll Be Doing<br><br>Architecting and scaling enterprise-level endpoint management (MDM) solutions using Jamf Pro and Microsoft Intune Administering Windows VMs and virtual desktop infrastructure (VDI) within a high-stakes production environment Automating device configurations and Saa S integrations via Bash, Zsh, and Power Shell to streamline operations Querying device inventory databases with SQL to generate actionable insights into fleet health and security compliance Implementing Security by Design frameworks through modern protocols like File Vault, Bit Locker, and Conditional Access Orchestrating large-scale hardware rollouts and technical migrations across global time zones Monitoring system security posture using open-source tools like Santa and OSQuery for complex system audits Deploying engineering-specific tooling, including automated CLI setups and local development environment configurations Translating complex endpoint architectures into clear, actionable technical documentation for diverse stakeholders Collaborating on the integration of Terraform or Cloud Formation to manage cloud-based IT and Saa S infrastructure<br><br>What You'll Need<br><br>3+ years of experience in an IT systems engineering role, focusing heavily on enterprise-level MDMTechnical expertise in Jamf Pro and Microsoft Intune A background managing Windows VMs and virtual desktop infrastructure in production environments Advanced proficiency in Bash, Zsh, or Power Shell to automate configurations and integrate Saa S APIsProficiency in SQL for querying inventory databases and logs to monitor fleet compliance Familiarity with modern security protocols, like File Vault and Bit Locker, with a security-by-design approach Exceptional talent for managing large-scale hardware rollouts and migrations across time zones Fluency in English with the ability to explain complex architectures to non-technical stakeholders Architect-level knowledge of mac OS internals and managing device fleets at a 1,000+ node scale Hands-on familiarity with open-source security tools, like Santa or OSQuery, for system auditing<br><br>Nice to have<br><br>Experience with Python, Bash, or Power Shell to automate repetitive tasks and manage system configurations at scale Exposure to Terraform or Cloud Formation for managing cloud-based IT infrastructure and Saa S configurations Advanced certifications or deep-dive experience in Jamf Pro (mac OS/i OS) or Microsoft Intune (Windows/Android) at an enterprise level The ability to transform raw SQL queries and complex database schemas into high-impact visual stories using tools like Tableau, Power BI, or Looker Familiarity with sandboxing or containerisation used to isolate untrusted local processes, supporting the secure use of AI agentic tools Exposure to Google MDM<br><br>Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.<br><br>Important notice for candidates:<br><br>Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<br><br> Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.<br><br>We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.<br><br>By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Social Machines and Robotics (SMART) Lab at New York University Abu Dhabi focuses on the development of socially intelligent machines (computer applications, robots, Virtual Agents) that are capable of interacting and communicating in a natural way with humans, expressing through their figure a high degree of social intelligence, with a focus on applications in education and healthcare.</p><br><br> <p>The SMART Lab seeks to recruit a motivated and passionate Junior Research Scientist to work under the supervision of Dr. Hanan Salam on topics including: (i) Human-Machine Interaction, (ii) Social Robotics, (iii) Artificial Intelligence for Diagnosis and Therapy of Individuals affected by Neurodevelopmental Disorders, (iv) Bias in AI.</p><br><br> <p><strong>Key Responsibilities:</strong></p><br><br> <ul> <li>Design, develop, and evaluate human-centered AI systems for SMART Lab research projects.</li> <li>Support data collection and experimental pipelines involving human participants, multimodal data, or robotic platforms.</li> <li>Publish research findings in high-impact journals and conferences.</li> <li>Communicate and present research findings at international academic conferences.</li> <li>Create, maintain, and document high-quality research code for reproducibility.</li> <li>Collaborate with PhD and post-doc researchers in the lab.</li> </ul> <p><strong>Minimuim Qualifications:</strong></p><br><br> <p>Bachelor’s or prefered Master’s degree in Computer Science, Engineering, Data Science, Human-Computer Interaction, Robotics, Cognitive Science, Psychology, or a related field.</p><br><br> <ul> <li>Strong programming skills, preferably in Python, with experience in machine learning and data analysis.</li> <li>Familiarity with one or more of the following areas: artificial intelligence, natural language processing, computer vision, multimodal learning, affective computing, human-robot interaction, social robotics, or human-centered AI.</li> <li>Experience with machine learning frameworks, data processing libraries, APIs, web development, robotics platforms, or experimental research methods is desirable.</li> <li>Excellent communication skills in English (oral and written communication)</li> <li>Willingness and capacity to work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.</li> <li>Self-motivated with an ability to work independently and in a team to get the work done.</li> <li>Willingness to learn and confront new challenges.</li> </ul> <p>For consideration, applicants need to submit a cover letter, curriculum vitae, transcript of degree, one page summary of research accomplishments and interests, and at least two letters of reference, all in PDF format.</p><br><br> <p>If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu</p><br><br> <p>The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children, together with full health insurance and retirement contributions. The UAE does not levy income tax.</p><br><br> <p><strong>About NYU Abu Dhabi</strong></p><br><br> <p>https://nyuad.nyu.edu/en/</p><br><br> <p>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. </p><br><br> <p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p><br><br> <p>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.</p><br><br> <p><strong>Working for NYUAD</strong></p><br><br> <p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. </p><br><br> <p>Visit our website for more information on benefits for you and your dependents.</p><br><br> <p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</p><br><br> <p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p><br><br> <p><strong>Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></p><br><br> <p>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</p><br><br> <p> @WorkAtNYUAD</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>JOB PURPOSE The Senior Specialist – QA and Test Engineering will play a critical role in the Quality Assurance, Software Testing and Testing Automation practice in CBUAE and embed a robust quality assurance framework across all critical financial systems and applications, thereby ensuring the unwavering reliability, security, and integrity of national monetary policy, payment infrastructure, and regulatory oversight tools.<br> This role is paramount for mitigating systemic risks, safeguarding financial stability, and upholding public trust by implementing the efficient and effective validation of complex software, executing advanced test automation, and fostering a culture of stringent quality excellence aligned with the central bank's unique mandate to manage the nation's financial backbone and adhere to the highest standards of governance and resilience.<br> Key Responsibilities Core Responsibilities Design and Development is responsible for leading the design, development, testing and implementation of innovative solutions and services that meet business needs.<br> This role involves strategically defining and implementing the overarching quality assurance/testing vision and roadmap for all software systems, ensuring the highest standards of reliability, security, performance, and regulatory compliance for CBUAE applications, systems and infrastructure platforms.<br> Quality Assurance and Test Engineering for Financial Applications and Infrastructure: Implement the overarching QA and test engineering and automation strategy, policies, and frameworks to ensure the absolute reliability, security, and performance of all mission-critical national payment systems, monetary policy tools, and financial market infrastructure.<br> Mitigating Systemic Risk through Rigorous Testing: Establish and enforce a robust testing regime for all software systems, including comprehensive unit, systems integration, user acceptance, regression, performance, resilience, security, and disaster recovery testing, to safeguard financial stability and prevent systemic vulnerabilities from manifesting.<br> Implement Advanced Test Automation for Efficiency and Integrity: Perform the design, development, and continuous improvement of highly sophisticated test automation frameworks and practices, focusing on enhancing testing efficiency, coverage, and speed for complex, high-volume, and critical central bank applications.<br> Ensuring Regulatory Compliance and Data Integrity: Carry out testing activities and collaborate with developers to guarantee strict adherence to national and international financial regulations, internal policies, and audit requirements, ensuring impeccable data integrity, privacy, and traceability for sensitive financial information.<br> Self-Management Responsibilities Defines performance goals at the start of the year in discussion with the reporting manager and ensures that the goals are achieved during the course of the year Identifies the training and development requirements for self and agrees on them with the reporting manager to ensure that the required trainings are arranged and attended Strives to achieve the highest levels of proficiency on all the competencies and skills required to perform the role.<br> Keeps abreast of professional developments, new techniques and current issues through continued education and professional growth.<br> QUALIFICATIONS AND EXPERIENCE Threshold Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or related fields.<br> Deep expertise and mastery in designing, implementing, and managing enterprise-grade test automation frameworks (e.<br>g., Tricentis, UiPath, Selenium, Appium) for various application types (web, mobile, API, desktop).<br> Strong understanding and practical experience with performance testing tools (e.<br>g., JMeter, LoadRunner, Gatling) for high-volume, real-time transaction systems, and expertise in security testing methodologies and tools (e.<br>g., OWASP Top 10, penetration testing tools, vulnerability scanners) to protect against cyber threats to national financial data.<br> In-depth understanding of various SDLC models, particularly Agile and DevOps, with practical experience in integrating quality assurance processes and automation into Continuous Integration/Continuous Delivery (CI/CD) pipelines.<br> This includes familiarity with tools like Jenkins, GitLab CI, Azure DevOps.<br> Strong SQL expertise and experience with diverse database systems (relational, NoSQL) to ensure data integrity, consistency, and accuracy across critical financial data repositories, including complex data migration and reconciliation testing.<br> Knowledge of complex enterprise system architectures, including microservices, APIs, distributed systems, and cloud platforms (e.<br>g., Azure, AWS, GCP, Oracle), along with the ability to design testing strategies that account for their unique challenges and ensure end-to-end quality.<br> In-depth understanding of the technical intricacies of core banking systems, financial market infrastructure, national payment systems (e.<br>g., RTGS, ACH), SupTech and regulatory reporting systems to design relevant and effective test scenarios.<br> Proven track record in implementing and overseeing specialized testing such as chaos engineering, blockchain testing (if applicable to central bank initiatives), big data testing, and AI/ML model validation.<br> Years &amp; Nature of Experience Minimum of 3 years of experience in leading a Software QA and Testing team.<br> Value-add if candidate has built a QA and Test team from scratch.<br> Minimum of 5-7 years of experience in performing Software QA and Testing or any related roles.<br> Extensive hands-on experience in designing, implementing, and managing enterprise-grade test automation frameworks for front-end and back-end applications.<br> Understanding of test-driven development (TDD) and behavior-driven development (BDD) and how to implement them with software engineers.<br> Proficiency in programming languages like Java, Python, C#, or JavaScript for automation scripting and framework development.<br> Proficiency in Agile development and DevSecOps practices to ensure rapid iteration and responsiveness to changing requirements.<br> Relevant professional certifications in QA and software testing tools and platforms will be an advantage.<br> Competencies Behavioural Drives High Performance: Assigns challenging goals for self and team and ensures efficient delivery, keeping in mind the objectives, goals and vision for the department and organization.<br> Manages Stakeholders: Builds and maintains professional networks and personal relationships with relevant stakeholders who are, or might become, important in ensuring individual as well as organisational success.<br> Innovates and Steers Change: Prioritises creativity and innovation, striving to constantly come up with better or unique ways of doing things.<br> Remains focused and optimistic through challenging situations, adapting quickly and demonstrating agility to changing circumstances to deliver required objectives.<br> Builds Capability: Believes in the capability of oneself and others and invests in strengthening them.<br> Provides resources and support required for individuals to develop critical skill and knowledge to achieve their full potential.<br> Driving Business Value: Reviews situations, opportunities, plans and information in great detail measuring impact on business success.<br> Identifies potential setbacks and creates risk mitigation strategies to reduce risk of failure.<br> Technical Software Testing: Understanding of software testing principles and practices, including unit testing, integration testing and automated testing.<br> Programming Languages: Proficiency in two or more programming languages.<br> Development Frameworks and Libraries: Familiarity with development frameworks and libraries relevant to their programming languages.<br> Software Development Methodologies: Understanding of different software development methodologies like waterfall, scrum, agile.<br> Database Management: Relational Databases, Database Design and Optimization, Data modeling, indexing, query optimization.<br> Debugging and Troubleshooting: Strong debugging skills to identify issues in software applications and design test cases to simulate and resolve those issues.<br></span> </div>

Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>About Andromeda<br><br>Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.<br><br>We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.<br><br>Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.<br><br>Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.<br><br>The Role<br><br>This is not a generalist SRE role, and it is not a support role. You will embed directly with the teams running large-scale training and inference on our clusters. You are responsible for onboarding them, tuning their jobs, and debugging their failures alongside them, while owning the infrastructure and automation that makes those clusters reliable in the first place.<br><br>Forward deployed means you spend real time inside customer environments: reading their training code, sitting in their Slack channels, watching their runs, and shipping fixes that land in our platform. When a multi-hundred-GPU run stalls, you are the person who figures out whether it's the fabric, the driver, the scheduler, or their dataloader, then you make sure it can't happen the same way twice.<br><br>We're looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework. Equally important: you can explain what you found to someone else's engineering team without condescension, and turn that conversation into a product improvement.<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>What Success Looks Like<br><br>By the end of your first year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>Forward Deployed Engineer - SRE<br><br>Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>By The End Of Your First Year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p>The <b>Pre-Sales Senior AI Solutions Engineer </b>plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production‑inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.</p><br><p><b>Key Responsibilities</b><br>Business-to-Technical Translation &amp; Problem Understanding</p><br><ul><li><p>Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.</p><br></li><li><p>Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).</p><br></li><li><p>Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.</p><br></li></ul><p>Agentic AI Solution Design &amp; Prototyping</p><br><ul><li><p>Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.</p><br></li><li><p>Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.</p><br></li><li><p>Frontend &amp; UX: Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.</p><br></li><li><p>Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.</p><br></li></ul><p>Demo Execution &amp; Sales Collaboration</p><br><ul><li><p>Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment.</p><br></li><li><p>Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.</p><br></li><li><p>Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).</p><br></li></ul><p>Cross-Functional Feedback &amp; Compliance Alignment</p><br><ul><li><p>Security &amp; Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.</p><br></li><li><p>Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.</p><br></li><li><p>Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.</p><br></li></ul><p><b>Knowledge, Skills, and Abilities</b><br>Pre-Sales &amp; Platform Selling Experience</p><br><ul><li><p>Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.</p><br></li><li><p>Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.</p><br></li><li><p>Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms.</p><br></li></ul><p>Core Technical Skills</p><br><ul><li><p>Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).</p><br></li><li><p>Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.</p><br></li><li><p>Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.</p><br></li></ul><p>Problem Solving &amp; Communication</p><br><ul><li><p>Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.</p><br></li><li><p>Exceptional ability to move from ambiguity to clarity quickly.</p><br></li><li><p>Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.</p><br></li></ul><p><b>Education &amp; Experience</b></p><br><ul><li><p>6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.</p><br></li><li><p>Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.</p><br></li><li><p>Prior experience applying AI or complex software solutions within the Oil &amp; Gas industry is a strong plus.</p><br></li><li><p>Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.</p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are building a world-class, in-house AI engineering capability to create and scale enterprise AI solutions for complex operational environments. We build, own, and continuously evolve our AI products rather than relying on off-the-shelf solutions.</span> <p><span>As a <strong>Forward Deployed AI Engineer, y</strong>ou will define the technical direction for an AI squad embedded within the business. Working closely with stakeholders, you will understand business challenges and their underlying drivers, then design, build, deploy, and operate agentic AI systems that deliver measurable outcomes.</span></p><br><br> <p><span>This is a highly hands-on, build-first role with end-to-end ownership of real business outcomes. You will partner with Business Product Owners and AI Value Architects while leveraging a shared AI platform, standards, and integration frameworks that enable teams to innovate rapidly and independently.</span></p><br><br> <span>Key Accountabilities &amp; Responsibilities</span> <span>Understand Before You Build</span> <p><span>Begin every initiative by understanding the business problem, objectives, and desired outcomes. Partner directly with stakeholders and lead solutions from discovery through production deployment.</span></p><br><br> <span>AI Solution Development</span> <ul> <li><span>Design, build, deploy, and continuously improve enterprise-grade agentic AI applications using agentic development practices as the primary engineering approach.</span> </li><li><span>Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.</span> </li><li><span>Design and implement Retrieval-Augmented Generation (RAG) solutions, including data ingestion, chunking strategies, embeddings, vector search, retrieval optimization, grounding, and source traceability.</span> </li><li><span>Build integrations using Model Context Protocol (MCP) and connect AI systems to enterprise platforms through REST APIs, OpenAPI specifications, webhooks, and event-driven architectures.</span> </li><li><span>Create reusable, self-service AI services and interfaces that can be leveraged across multiple business domains.</span> </li><li><span>Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, and guardrails.</span> </li></ul> <span>Quality, Reliability &amp; Governance</span> <ul> <li><span>Own solution quality from inception through operation, including testing, evaluation, observability, logging, version control, and continuous feedback mechanisms.</span> </li><li><span>Optimize reliability, accuracy, performance, security, latency, and cost across deployed AI solutions.</span> </li><li><span>Ensure compliance with security, privacy, access controls, auditability, responsible AI principles, and governance requirements.</span> </li></ul> <span>Technical Leadership</span> <ul> <li><span>Take ownership of business outcomes within a specific domain, ensuring successful delivery and measurable impact.</span> </li><li><span>Establish reusable patterns, frameworks, and engineering standards that strengthen internal AI capabilities.</span> </li><li><span>Collaborate effectively with Product Owners, AI Architects, and engineering teams, while challenging assumptions and identifying when AI is not the appropriate solution.</span> </li><li><span>Define technical direction, architecture standards, and strategic build-versus-buy decisions for AI initiatives.</span> </li><li><span>Design multi-agent systems, agent-to-agent communication patterns, and evaluation frameworks that ensure robustness and scalability.</span> </li><li><span>Lead engagements with external AI technology providers and partners while maintaining a strong focus on internal capability development.</span> </li><li><span>Mentor engineers, conduct technical reviews, and raise engineering standards across quality, security, and cost optimization.</span> </li></ul> <span>Education &amp; Experience</span> <p><span>We are seeking a technical leader who combines deep engineering expertise in agentic AI with strong business acumen and a hands-on delivery mindset.</span></p><br><br> <span>Core Requirements</span> <ul> <li><span>Demonstrated curiosity and a passion for understanding complex business and operational challenges.</span> </li><li><span>Strong business-first, human-centered approach, recognizing that AI augments people rather than replacing them.</span> </li><li><span>Excellent communication skills in English and experience working within diverse, international teams.</span> </li><li><span>8+ years of experience building production-grade software, including:</span> <ul> <li><span>4+ years working with Generative AI, Large Language Models (LLMs), or applied Machine Learning.</span> </li><li><span>At least 1 year of hands-on experience designing and deploying agentic AI solutions.</span> </li><li><span>Proven success setting technical direction and delivering AI solutions at scale.</span> </li></ul> </li><li><span>Hands-on experience or strong working knowledge of Model Context Protocol (MCP) for connecting AI agents with systems, tools, APIs, and data sources.</span> </li><li><span>Strong Python programming skills and expertise in at least one of the following:</span> <ul> <li><span>TypeScript / JavaScript</span> </li><li><span>Java</span> </li><li><span>C#</span> </li></ul> </li><li><span>Strong understanding of modern engineering practices, including asynchronous programming, FastAPI, Pydantic, CI/CD, testing strategies, source control, logging, and error handling.</span> </li><li><span>Experience with at least one agent framework or enterprise AI platform, such as:</span> <ul> <li><span>LangGraph</span> </li><li><span>Semantic Kernel</span> </li><li><span>CrewAI</span> </li><li><span>AutoGen</span> </li><li><span>OpenAI Agents SDK</span> </li><li><span>Microsoft Foundry</span> </li><li><span>Amazon Bedrock AgentCore</span> </li><li><span>Google Vertex AI / Gemini</span> </li></ul> </li><li><span>Experience with vector databases and search platforms such as:</span> <ul> <li><span>Azure AI Search</span> </li><li><span>pgvector</span> </li><li><span>Pinecone</span> </li><li><span>Weaviate</span> </li><li><span>OpenSearch</span> </li></ul> </li><li><span>Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.</span> </li><li><span>Practical experience deploying solutions in cloud environments using containers, monitoring, and observability platforms.</span> </li><li><span>Strong judgment regarding trade-offs between quality, latency, reliability, security, governance, and cost.</span> </li></ul> <span>Desirable Experience</span> <ul> <li><span>Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service operations, or other complex operational environments.</span> </li><li><span>Background in classical machine learning, data science, or advanced analytics.</span> </li><li><span>Experience across full-stack software development, including front-end, API, and back-end engineering.</span> </li></ul> <span>Preferred Experience</span> <ul> <li><span>Designing AI agents for enterprise-scale operational workflows.</span> </li><li><span>Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.</span> </li><li><span>Building evaluation frameworks, golden datasets, simulation-based testing, regression testing, and AI quality measurement systems.</span> </li><li><span>Designing multi-agent architectures, agent registries, and tool orchestration standards.</span> </li><li><span>Leading delivery with external AI platforms, startups, or technology vendors while developing internal engineering teams and capabilities.</span> </li></ul> <span>Education</span> <ul> <li><span>Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field; or equivalent practical experience.</span> </li><li><span>Relevant certifications in Cloud AI, Generative AI, Agentic AI, MLOps, or related disciplines are advantageous.</span> </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description The Murex FO will be required to be part of GM IT FO Squad responsible to provide IT services to Global Markets team. The squad is responsible for support, change request and projects pertaining to Global Markets. Key responsibilities of the role include providing level 1 / level 2 trading floor support to traders and control groups Responsibilities Support traders, middle office users on daily issues including PL / position mismatches / market data, mkt operations, etc. Configure curves (rate, rate hedge, credit) and static data including securities, generators, indices, currencies, vol surface, portfolios, user groups, access rights etc., in Murex. Write new pre trade rules, create / amend lookup tables / simulation views / e-tradepad strategies / Live Book views. Work on Patch upgrades / version upgrades testing to reconcile any PL / Greeks issue &amp; avoid any regressions. Reporting on progress on issues / showstoppers to manager and other stakeholders Assist in developing business and operational processes and to participate in developing system training artefacts when required Gather, analyze, and document business requirements for Structured Products and Exotic Derivatives across Interest Rate, Equity, FX, Credit, and Hybrid asset classes. Lead Murex payoff activation and implementation activities for complex structured products including Range Accruals, Callable Interest Rate Swaps, Bermudan Swaps, Equity Autocallables, Reverse Convertibles, Snowballs, Barrier Products, Target Redemption Notes (TARNs) and other non-linear derivatives. Coordinate with Front Office traders, Structuring teams, Quantitative Analysts, Market Risk, Product Control, Operations, and Finance teams to ensure accurate product configuration and lifecycle management. Act as the primary liaison between the bank and external vendors including Murex and Numerix for implementation, pricing model validation, payoff activation, bug fixes, and enhancement requests. Analyze product pricing requirements and collaborate with Quant teams to validate pricing models, market data dependencies, risk sensitivities (Greeks), calibration methodologies, and valuation adjustments. Coordinate implementation of new pricing models, payoff templates, model parameterization, and market data requirements within Murex. Manage end-to-end testing for structured products including trade booking, pricing validation, lifecycle events, risk calculations, P&amp;L explain, limit monitoring, settlement generation, accounting impact, and regulatory reporting considerations. Support model and payoff validation exercises by reconciling Murex valuations against vendor systems, market benchmarks, independent quant libraries, or Numerix calculations. Work closely with Murex and internal development teams to troubleshoot valuation discrepancies, performance issues, simulation inconsistencies, and risk calculation anomalies. Prepare functional specifications, business requirement documents, test cases, and implementation documentation for new structured product initiatives. Participate in product approval processes and support onboarding of new products by ensuring operational readiness and front-to-back process alignment Skills Must have 8-15 years of total of working experience, including 5 -10 years of experience in Murex FO. Extensive experience in setting up and validating Interest rate curves including for ARRs. Expertise in multiple asset classes (at least 2 of the following) such as IR vanilla and exotic derivatives, Equity Derivatives, Commodity Derivatives, FX Derivatives, Structured Products Credit Derivatives, FIMM (Fixed Income, / Money Market). Expertise in terms of pricing, valuation, risk management and sensitivities including for exotic products. Strong exposure to FO Modules of Murex E-Tradepad, Simulation, Livebook, RTPM, Pre-Trade Workflow, Market Data, Dynamic Tables, P&amp;L Notepad, FDI Templates, Blotters, Risk Matrices etc. Experience in implementation and supporting Murex v3.1 with regards to front office capabilities Excellent knowledge of Capital Markets products and processes, front to back. Experience on implementation of both linear and non-linear products in Murex Strong analytical and problem-solving skills accompanied with excellent communication Extensive experience supporting and implementing Structured Products and Exotic Derivatives within Murex. Strong understanding of pricing, valuation, lifecycle events, and risk management of: Interest Rate Range Accruals Callable and Bermudan Swaps CMS-based Structures Equity Autocallables Reverse Convertibles Hybrid and Cross-Asset Structured Products Experience activating and configuring exotic payoffs within Murex and working with associated pricing models and market data requirements. Strong understanding of quantitative finance concepts including: Monte Carlo Simulation Trees and Lattice Models Stochastic Interest Rate Models Local/Stochastic Volatility Models Correlation and Hybrid Model Frameworks Sensitivity Analysis and Risk Attribution Proven experience working directly with Quantitative Analysts, Structuring Desks, Murex Professional Services, and third-party valuation providers such as Numerix. Experience validating exotic derivative pricing, Greeks, calibration parameters, volatility surfaces, correlation surfaces, and yield curve frameworks. Experience with model governance, model validation, product approval processes, and regulatory requirements affecting structured products. Demonstrated ability to manage complex implementations involving multiple stakeholders across Front Office, Risk Management, Quant teams, Operations, Finance, and external vendors. Strong record of stakeholder management and leadership skills Strong understanding of the financial markets, trading, and banking solutions Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation Candidate must be technically astute and have had relevant exposure and experience with bank systems and processes. Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes and other relevant information. Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines. Candidate must display strong verbal and written communication skills. Exposure to Murex Model Factory and Pricing Framework. Experience with Numerix model libraries and structured product valuation methodologies. Strong capability to perform valuation reconciliations between Murex, Numerix, Bloomberg, Reuters, or internal pricing engines. Nice to have Knowledge of Python, SQL, or scripting languages used for pricing validation and reconciliation Other Languages English: C1 Advanced Seniority Senior</p><br> </div>