Python Developer Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Proficient in SQL, SSIS, Python, Power BI, ETL development and validation</p></li><li><p>Hands on experience in data analysis tools and database development</p></li><li><p>Experience in conducting data profiling, data quality, data lineage and data completeness</p></li><li><p>Understanding of customer onboarding, and domestic/cross-border (SWIFT) payment gateways, payment types, tags</p></li><li><p>Experience in fine tuning of Sanctions screening systems (Fircosoft/Safewatch/Omni/Siron)</p></li><li><p>Experience in sanctions screening system validation (Fircosoft/Safewatch/Omni/Siron), fine-tuning, list management, name and payment screening processes, screening exclusions and project management.</p></li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related field.</li><li>Minimum of 3-5 years of experience in sanctions screening, AML, or financial crime compliance.</li><li>Proficiency in SQL for data querying and manipulation is essential.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analysis.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain robust, scalable web applications using React.js for the front-end and Node.js for the back-end. </p><p>Develop and integrate robust RESTful APIs and services to support front-end functionality. Collaborate with cross-functional teams, including UI/UX designers, product managers, and other developers, to define, design, and ship new features</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field is preferred.</li><li>Proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks like React or Angular.</li><li>Solid understanding of back-end technologies such as Node.js, Python, Ruby, or Java, with experience in building APIs.</li><li>Familiarity with cloud services like AWS, Azure, or Google Cloud Platform for deploying and managing applications.</li><li>Experience with database management systems, both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Firebase).</li></ul><p></p></section>

Job Description<br><br>Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative Saa S platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.<br><br>Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.<br><br>Besides its Saa S business, Circles operates three other distinct businesses:<br><br>Circles. Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles. Life is powered by Circles’ Saa S platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaa S) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpac provides seamless e SIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel e SIM of the Year.<br><br>Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.<br><br>About The Role<br><br>We are looking for a data-savvy and detail-oriented CVM Analyst to support the customer value management engine for our new digital telco brand in the MENA region. This role plays a key part in driving customer engagement, retention, and monetization by translating complex data into actionable insights, launching targeted lifecycle campaigns, and continuously optimizing performance across key CVM KPIs.<br><br>The ideal candidate brings hands-on experience in customer segmentation, campaign analytics, and lifecycle marketing, along with strong technical capabilities in SQL, Python / R, and BI tools.<br><br>What You’ll Be Responsible For<br><br>Lifecycle campaign execution: Support the design, launch, and tracking of customer lifecycle campaigns across digital, contextual, and outbound channels, such as targeting acquisition, in-life management, churn prevention, and reactivation CVM execution: Assist in the execution of data-driven CVM strategies to increase ARPU and reduce churn by identifying up-sell and cross-sell opportunities through deep behavioral analysis Performance monitoring: Build and maintain campaign performance trackers for various lifecycle stages and monitor KPIs to flag deviations, trends, and anomalies Advanced analytics & modeling: Partner with data teams to co-develop churn prediction models, customer propensity models, and micro-segmentation frameworks Channel optimization: Recommend the most efficient use of touchpoints by analyzing engagement rates across SMS, push, email, IVR, and digital placements Reporting & insight generation: Leverage SQL, Python/R, and BI tools (Power BI, Tableau, Looker, Qlik) to generate insight-rich dashboards and campaign reports for internal stakeholders Data integration: Work with data engineering and IT teams to ensure timely availability and accuracy of data pipelines supporting campaign execution and performance measurement.<br><br>What We’re Looking For<br><br>3-4 years of experience in B2C telco CVM, lifecycle marketing, or customer analytics roles Bachelor’s degree in Data Science, Business, Computer Science, Economics, or a related field; Master’s degree is a plus Proficiency in SQL and at least one scripting language (Python or R) is required Advanced skills in data visualization and reporting tools (e.g., Power BI, Tableau, Looker, Qlik) Familiarity with CRM systems, campaign management platforms, and marketing automation tools Experience working with cloud-based data ecosystems, ETL processes, and large-scale data sets is preferred Strong business acumen with the ability to translate data into clear, actionable commercial insights Excellent communication and stakeholder management skills, with the confidence to work cross-functionally in a fast-paced, high-growth environment<br><br>Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.<br><br>Data Protection and Privacy Statement <br><br>By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent to Circles’ Candidate Data Protection and Privacy Policy. You also agree to the collection, use, and/or disclosure of your personal data by us solely for recruitment purposes as specified in the Policy. You acknowledge that you have read and understood the Policy, are aware of your rights regarding your personal data, and accept the terms relating to international data transfers, where applicable. You further understand that you may withdraw consent at any time, which may affect our ability to consider your application. In instances where your personal data or application is submitted by a third party, it is understood that such third party has been duly authorised by you to disclose the relevant personal data and provide consent on your behalf, and that you have been made aware of this Policy.<br><br>To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.<br><br>Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.<br><br>Job Details<br><br>Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.circles.co/ Job Function: Marketing 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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Client is establishing a next-generation electronic trading and market-making platform across assets classes – Rates, Credit, and FX , with capabilities spanning in-house pricing, real-time distribution, and straight-through processing (STP). We are seeking a Senior Electronic Trading Engineer to design and build low-latency, event-driven trading systems that integrate market data, pricing libraries, and execution venues, enabling real-time streaming, execution, and risk-aware trade processing. This is a front-office technology role, working closely with traders, quants, and platform teams. Responsibilities Key Accountabilities Platform Engineering &amp; Architecture Design and implement high-performance, low-latency trading applications Build event-driven architecture supporting: Market data ingestion Pricing orchestration Real-time price streaming Develop systems capable of high throughput and deterministic latency performance Pricing &amp; Quant Integration Integrate quantitative pricing libraries into real-time trading flows Work with quant teams to: Productionize pricing models Optimize models for latency-sensitive environments Implement pricing services / APIs consumable by distribution channels Market Data &amp; Distribution Integrate with market data providers (e.g., Bloomberg, Refinitiv) Build low-latency market data handlers for: Tick processing Normalization Internal distribution Enable real-time price streaming to external/internal clients Execution &amp; Venue Connectivity Implement connectivity to: Trading venues (ECNs, MTFs, dealers) Internal/external liquidity sources Develop: Order routing logic Execution workflows (RFQ, streaming, DMA) Support low-latency order lifecycle management STP &amp; Trade Processing Ensure integration with: Trade capture systems (e.g., Murex) Risk and downstream processing platforms Build real-time STP pipelines ensuring: Accuracy Resilience Auditability Performance Optimization Continuously optimize: Latency Throughput Resource utilization Apply advanced techniques: Concurrency / multithreading Memory optimization Network tuning Ensure systems meet strict latency SLAs typical of trading environments Collaboration &amp; Delivery Work closely with: Front Office (trading, sales) Quantitative research teams Infrastructure and production support Participate in Full SDLC (design → build → test → deploy → support) Contribute to architecture decisions and platform evolution Skills Must have 10+ years exp in capital markets technology Minimum 7+ years exp in electronic trading platform development Experience in: Cross-asset trading platforms, Pricing frameworks (FX, Rates, Credit derivatives) Knowledge of: Cloud-native deployment (AWS / Azure), Containerization (Docker, Kubernetes) Exposure to: Smart Order Routing / algorithmic execution Scripting languages: Python (for integration / tooling) Strong programming expertise in C# (preferred for latency-critical components), Python. Deep understanding of: Multithreading, concurrency, and event-driven systems, Low-latency system design and optimization. Experience with: Messaging frameworks (e.g., Kafka, Solace, JMS), REST / WebSocket APIs for real-time streaming, Strong Linux/Unix development environment experience Trading / Capital Markets Experience: Strong knowledge of: Electronic trading workflows (RFQ, streaming, execution). Market microstructure across FX / Rates / Credit Experience building: Front-office trading or pricing systems, Venue/exchange connectivity (FIX protocol preferred) Integration Expertise: Proven experience integrating: Market data feeds, Pricing libraries / quant models, Trade booking systems (e.g., Murex or similar platforms) Understanding of: Trade lifecycle, STP and post-trade flows System Design &amp; Performance Experience designing: Distributed, scalable, low-latency architectures Knowledge of: Data structures &amp; algorithm optimization, High-throughput systems Nice to have NA Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

Role: Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis to develop and maintain scalable software systems. The role involves designing high-performance architectures and implementing solutions across multiple platforms.<br>Key Responsibilities:• Design, develop, and optimize software solutions while ensuring scalability and reliability.• Collaborate with cross-functional teams to define system requirements and architectural decisions.• Write clean, maintainable, and efficient code following best practices in software engineering.• Troubleshoot, debug, and resolve issues in production environments.• Mentor junior engineers and contribute to technical documentation and best practices.<br>Required Skills & Qualifications:• Proficiency in multiple programming languages such as Python, Java, or Java Script.• Experience with cloud platforms, microservices, or distributed systems.• Strong problem-solving skills and ability to work in fast-paced environments.• Knowledge of software development methodologies, including Agile and Dev Ops.• Familiarity with version control systems like Git and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge software solutions that drive business growth. The contract provides flexibility and the chance to work on high-impact projects with a remote team.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis to develop and maintain scalable software systems. The role involves designing high-performance architectures and implementing solutions across multiple platforms.<br>Key Responsibilities:• Design, develop, and optimize software solutions while ensuring scalability and reliability.• Collaborate with cross-functional teams to define system requirements and architectural decisions.• Write clean, maintainable, and efficient code following best practices in software engineering.• Troubleshoot, debug, and resolve issues in production environments.• Mentor junior engineers and contribute to technical documentation and best practices.<br>Required Skills & Qualifications:• Proficiency in multiple programming languages such as Python, Java, or Java Script.• Experience with cloud platforms, microservices, or distributed systems.• Strong problem-solving skills and ability to work in fast-paced environments.• Knowledge of software development methodologies, including Agile and Dev Ops.• Familiarity with version control systems like Git and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge software solutions that drive business growth. The contract provides flexibility and the chance to work on high-impact projects with a remote team.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>This is not a role for someone who wants a clean warehouse and a BI tool waiting for them.</p><br><br><p>It is a role for a senior analyst who can operate inside a live infrastructure buildout, help get the data foundation right, and use AI tools to work faster than a traditional analyst stack allows.</p><br><br><p>This person turns event data, campaign performance, and growth metrics into decisions the product and leadership team can act on immediately.</p><br><br>Requirements<ul><li><p>5+ years in product analytics or data analysis, ideally at a marketplace, e-commerce, or performance-marketing company. Growth-stage startup experience is a strong plus.</p><br><br></li><li><p>Define, track, and report north-star and funnel metrics for both brands and creators, including signup, activation, early campaign performance, retention, and payouts.</p><br><br></li><li><p>A track record owning north-star and funnel or retention metrics for a two-sided or marketplace product.</p><br><br></li><li><p>Partner with PMs to define event tracking specs as part of feature planning, not as a follow-up request to engineering after launch.</p><br><br></li><li><p>Experience partnering directly with PMs and engineers on instrumentation, not just consuming finished data.</p><br><br></li><li><p>Work directly with the data and engineering team on our ongoing data infrastructure modernization.</p><br><br></li><li><p>Validate data quality, flag gaps, and act as a product-side partner on schema and taxonomy decisions.</p><br><br></li><li><p>Comfortable working with imperfect data and evolving schemas. We are mid-modernization, not a mature warehouse environment.</p><br><br></li><li><p>Build and maintain dashboards so PMs, leadership, and investors can get answers without waiting on ad hoc requests.</p><br><br></li><li><p>Hands-on experience with a customer data platform or event tracking pipeline and a modern BI or dashboarding tool.</p><br><br></li><li><p>Fluent in SQL and comfortable in Python, at minimum pandas, for anything a dashboard tool cannot do.</p><br><br></li><li><p>Use LLM-assisted SQL and Python generation, natural-language querying, and repeatable AI-driven analysis pipelines in place of one-off manual reports.</p><br><br></li><li><p>AI-native by practice, not just interest. You use LLMs and agents daily to write queries, generate analysis code, summarize data, or automate reporting, and can speak concretely about how that has changed your output, not just that you are interested in AI.</p><br><br></li><li><p>Tie product and campaign changes to revenue, retention, and unit economics.</p><br><br></li><li><p>Help design A/B tests, size samples, read out results, and maintain an experiment log.</p><br><br></li><li><p>Bring UAE and GCC context, including trust, timing, creative refresh, and short attention windows, into how funnel and campaign data gets interpreted.</p><br><br></li><li><p>Contribute clean, defensible numbers to board and investor updates.</p><br><br></li><li><p>Support data literacy across the PM team as part of a broader push toward analytics discipline.</p><br><br></li><li><p>Strong written and verbal communication. You turn analysis into a clear recommendation, not just a chart.</p><br><br></li></ul>Nice to Have<ul><li><p>Background in influencer, affiliate, or performance-marketing analytics.</p><br><br></li><li><p>GCC or MENA market experience.</p><br><br></li><li><p>Experience configuring agentic analytics workflows, beyond prompting a chat interface.</p><br><br></li></ul>How This Role Fits the Team<p>You report to the CPO and sit inside the product organization, not a shared analytics function, so your priorities follow the roadmap.</p><br><br><p>You work closely with the data and engineering team on infrastructure work, and with the PM team on instrumentation and metrics.</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description As part of the Development &amp; Engineering section within the Information Technology Department (ITD), this role supports project and programme delivery, agile ways of working, and the continuous improvement of delivery processes. The initiative involves the development and management of in-house applications and data platforms, supporting projects from inception to acceptance while maintaining appropriate governance standards, delivery discipline, and industry good practices. Additionally, the project focuses on leveraging AI, automation, and AI agents to enhance operational delivery practices—such as automated reporting, action tracking, RAID management, backlog insights, and workflow automation across project and agile delivery practices Responsibilities This person will be responsible for day-to-day project management and people management in the offshore delivery center. They will also be responsible for the delivery, scope, timeline, project status reporting, and other PM activities. Hands-on knowledge of software development methodologies is essential. Agile knowledge is a plus. Responsibilities will also include: Scrum ceremonies Negotiation with the customer and on-site Project Managers (delivery management, requirements management, requirements analysis etc.); Introduction and enhancements of software development methodologies within the project; Coordination and collaboration with other projects and QA engineers; Change management process facilitation; Team motivation, team building, assessment of project team members. Skills Must have A minimum of 4 years’ relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support roles Maintain a working understanding of tech delivery environments to engage effectively with engineering, data, architecture, security, and business teams. Experience with data and engineering concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC). Utilize delivery and collaboration tools like Azure DevOps, Microsoft 365, Teams, SharePoint, and Power BI. Understand the purpose and delivery implications of technologies like Python, PySpark, SQL, Azure, AWS, and Databricks. Translate technical context into clear delivery plans, risks, dependencies, decisions, and stakeholder communications. Practical experience supporting technology, software, data, platform, or digital transformation initiatives Strong delivery discipline across scope, timeline, risk, dependency, quality, and governance management Excellent written and verbal communication skills, with the ability to translate complex delivery or technical topics into clear business language Excellent interpersonal, facilitation, negotiation, and stakeholder engagement skills Experience using delivery and collaboration tools such as Azure DevOps, Microsoft 365, Teams, SharePoint, Power BI, or similar platforms Working knowledge of technology delivery environments and concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC) without requiring deep hands-on engineering ownership Ability to provide conflict resolution and support constructive decision-making across cross-functional teams Having strong planning, organizational, and follow-through skills with high attention to detail Nice to have Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline Exposure to agile frameworks such as Scrum, Kanban, SAFe, or Product Owner practices Practical awareness, curiosity, or exposure to AI, generative AI, Copilot, workflow automation, or AI-assisted delivery practices Relevant professional training or certifications in project management, agile delivery, AI, or automation Understanding of responsible AI, data protection, confidentiality, security, and governance considerations when applying AI-enabled solutions Experience working alongside data engineering tools and cloud ecosystems (e.g., Python, PySpark, SQL, Azure, AWS, Databricks) Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

A leading global multi-strategy hedge fund is looking to hire a Quantitative Researcher to join its growing systematic equities platform in the United Arab Emirates. The successful candidate will become part of an established statistical arbitrage team focused on developing intraday and mid-frequency systematic equity strategies across global markets. Working within a lean, high-performing research group, you will collaborate directly with the Portfolio Manager, leverage a sophisticated research and technology infrastructure, and contribute to the development of investment ideas that have a direct impact on portfolio performance. Responsibilities Partner closely with the Portfolio Manager and quantitative developers to translate research into live trading strategies. Design and develop quantitative alpha signals for systematic equity statistical arbitrage strategies across global equity markets. Own the full research lifecycle, from hypothesis generation and data exploration through feature engineering, backtesting, validation, and production deployment. Create new trading signals while improving and expanding the existing alpha library, with a focus on intraday and mid-frequency strategies.<br>Requirements Master's or PhD in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, or a related field from a leading university. Proven buy-side experience researching systematic equity statistical arbitrage strategies within a hedge fund, multi-strategy platform, or proprietary trading firm. A strong track record of developing alpha signals across intraday and mid-frequency investment horizons. Excellent programming skills in Python; experience with C++ is advantageous. Experience working with large and complex datasets, including market, microstructure, fundamental, event-driven, and alternative data.

Role: Software Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $100 - $230/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis. The role involves designing, developing, and maintaining software systems to support platform operations. Candidates will collaborate with cross-functional teams to deliver scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize software solutions for platform performance and scalability.• Lead code reviews and provide technical guidance to junior engineers.• Debug and resolve complex technical issues across distributed systems.• Develop and maintain APIs, microservices, and backend infrastructure.• Ensure code quality through testing, documentation, and adherence to best practices.<br>Required Skills & Qualifications:• Proficiency in multiple programming languages including Python, Java, or Go.• Experience with cloud platforms such as AWS, GCP, or Azure.• Strong understanding of data structures, algorithms, and system design.• Familiarity with containerization tools like Docker and orchestration with Kubernetes.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of a cutting-edge platform. The project involves building scalable infrastructure to support high-traffic applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description As part of the Development &amp; Engineering section within the Information Technology Department (ITD), this role supports project and programme delivery, agile ways of working, and the continuous improvement of delivery processes. The initiative involves the development and management of in-house applications and data platforms, supporting projects from inception to acceptance while maintaining appropriate governance standards, delivery discipline, and industry good practices. Additionally, the project focuses on leveraging AI, automation, and AI agents to enhance operational delivery practices—such as automated reporting, action tracking, RAID management, backlog insights, and workflow automation across project and agile delivery practices Responsibilities This person will be responsible for day-to-day project management and people management in the offshore delivery center. He/She will also be responsible for the delivery, scope, timeline, project status reporting, and other PM activities. Hands-on knowledge of software development methodologies is essential. Agile knowledge is a plus. Responsibilities will also include: Scrum ceremonies Negotiation with the customer and on-site Project Managers (delivery management, requirements management, requirements analysis etc.); Introduction and enhancements of software development methodologies within the project; Coordination and collaboration with other projects and QA engineers; Change management process facilitation; Team motivation, team building, assessment of project team members. Skills Must have A minimum of 4 years’ relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support roles Maintain a working understanding of tech delivery environments to engage effectively with engineering, data, architecture, security, and business teams. Experience with data and engineering concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC). Utilize delivery and collaboration tools like Azure DevOps, Microsoft 365, Teams, SharePoint, and Power BI. Understand the purpose and delivery implications of technologies like Python, PySpark, SQL, Azure, AWS, and Databricks. Translate technical context into clear delivery plans, risks, dependencies, decisions, and stakeholder communications. Practical experience supporting technology, software, data, platform, or digital transformation initiatives Strong delivery discipline across scope, timeline, risk, dependency, quality, and governance management Excellent written and verbal communication skills, with the ability to translate complex delivery or technical topics into clear business language Excellent interpersonal, facilitation, negotiation, and stakeholder engagement skills Experience using delivery and collaboration tools such as Azure DevOps, Microsoft 365, Teams, SharePoint, Power BI, or similar platforms Working knowledge of technology delivery environments and concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC) without requiring deep hands-on engineering ownership Ability to provide conflict resolution and support constructive decision-making across cross-functional teams Having strong planning, organizational, and follow-through skills with high attention to detail Nice to have Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline Exposure to agile frameworks such as Scrum, Kanban, SAFe, or Product Owner practices Practical awareness, curiosity, or exposure to AI, generative AI, Copilot, workflow automation, or AI-assisted delivery practices Relevant professional training or certifications in project management, agile delivery, AI, or automation Understanding of responsible AI, data protection, confidentiality, security, and governance considerations when applying AI-enabled solutions Experience working alongside data engineering tools and cloud ecosystems (e.g., Python, PySpark, SQL, Azure, AWS, Databricks) Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Role: Associate Analyst- Model Risk Management&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong></span></span></p><br><p><span><span><strong>Location: Abu Dhabi</strong></span></span></p><br><p><span><span><strong>This position is for fresh graduates UAE Nationals only.</strong></span></span></p><br><p><span><span><strong>Role purpose:</strong></span></span></p><br><ul><li><p><span><span>The role supports the Model Risk Management and AI Risk team in day-to-day activities covering model governance, AI risk governance, independent review support, model inventory administration, monitoring, issue tracking and management information.&nbsp;</span></span></p><br></li><li><p><span><span>The position is designed for a fresh graduate or early-career hire who will develop a sound foundation in model lifecycle risk and the responsible use of artificial intelligence in banking.</span></span></p><br></li><li><p><span><span>Under supervision and with structured training, the role holder will assist with evidence gathering, analytical review, documentation and coordination across stakeholders.&nbsp;</span></span></p><br></li><li><p><span><span>The role requires curiosity, attention to detail, sound quantitative aptitude, integrity and the ability to communicate clearly with technical and non-technical colleagues.</span></span></p><br></li></ul><p><span><span><strong>Key accountabilities / Responsibilities:</strong></span></span></p><br><ul><li><p><span><span>Provide proactive administrative, analytical and coordination support to the Model Risk Management and AI Risk team.</span></span></p><br></li><li><p><span><span>Assist in maintaining complete and accurate model and AI use-case inventory, including ownership, purpose, status, risk tier, validation, monitoring and approval information.</span></span></p><br></li><li><p><span><span>Support model identification, risk classification, initial screening and lifecycle governance activities using approved templates and procedures.</span></span></p><br></li><li><p><span><span>Assist with independent model and AI review activities by collecting documentation, checking data completeness, reproducing basic analyses and documenting observations under supervision.</span></span></p><br></li><li><p><span><span>Support basic quantitative testing using Excel and, as capability develops, Python, R or SAS for data quality, performance, stability, sensitivity, fairness and monitoring analyses.</span></span></p><br></li><li><p><span><span>Help review AI use cases for responsible AI considerations, including data quality, fairness, transparency, explainability, human oversight, privacy, security, robustness and appropriate use.</span></span></p><br></li><li><p><span><span>Support preparation of committee packs, dashboards, risk appetite reporting, regulatory assessments and management information for model and AI risk oversight.</span></span></p><br></li><li><p><span><span>Track validation plans, monitoring submissions, model or AI changes, conditions, findings and remediation actions, and follow up with stakeholders on agreed timelines.</span></span></p><br></li><li><p><span><span>Maintain clear working papers, evidence, version control and audit trails in line with approved policies, procedures and information-handling requirements.</span></span></p><br></li><li><p><span><span>Contribute to automation and process improvement opportunities that improve the quality, consistency and efficiency of governance, validation and reporting activities.</span></span></p><br></li><li><p><span><span>Participate in training and progressively build knowledge of banking models, AI and machine learning, model risk, responsible AI, statistics, regulation and ADIB governance processes.</span></span></p><br></li><li><p><span><span>Escalate incomplete information, control concerns, missed timelines or potential policy breaches&nbsp;</span></span></p><br></li></ul><p><span><span><strong>Specialist skills / technical knowledge required for this role:</strong></span></span></p><br><ul><li><p><span><span>Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Artificial Intelligence, Quantitative Finance, Economics, Engineering, Actuarial Science or a related quantitative discipline.</span></span></p><br></li><li><p><span><span>Fresh graduate or up to two years of relevant internship or work experience. Banking experience is advantageous but not mandatory.</span></span></p><br></li><li><p><span><span>Foundation knowledge of statistics, data analysis, machine learning or model development concepts, with a strong willingness to learn risk governance and validation.</span></span></p><br></li><li><p><span><span>Good working knowledge of Microsoft Office, particularly Excel and PowerPoint. Exposure to Python, R, SAS, SQL, Power BI or similar analytical tools is advantageous.</span></span></p><br></li><li><p><span><span>Strong analytical, research, problem-solving and documentation skills, with careful attention to data quality and detail.</span></span></p><br></li><li><p><span><span>Clear written and verbal communication, professional judgement, teamwork, adaptability and commitment to continuous development.</span></span></p><br></li><li><p><span><span>Awareness of responsible AI, model risk, data privacy, information security or banking regulation is advantageous but not mandatory.</span></span></p><br></li></ul><br> </div>

Company Description Talentseval connects businesses with top-tier IT professionals and delivers end-to-end technology solutions. The company specializes in outsourcing, ensuring organizations receive both the right expertise and measurable results. With a strong focus on quality, efficiency, and AI-driven solutions, Talentseval helps clients stay competitive in a fast-changing digital environment. Its multidisciplinary expertise covers frontend and backend development, UI/UX and product design, data science and AI, mobile app development, Dev Ops and cloud engineering, and project and product management, offering diverse opportunities for technology professionals. Role Description This is a full-time, on-site Senior Software Engineer role based in Abu Dhabi, United Arab Emirates. The Senior Software Engineer will design, develop, and maintain scalable backend and full-stack systems, contributing to architecture decisions and implementing robust, secure, and efficient solutions. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and system design. Proficiency in Software Development and Programming, with experience building complex, production-grade applications. Hands-on expertise in Back-End Web Development, including APIs, microservices, and database integration. Solid understanding and practical use of Object-Oriented Programming (OOP) principles and design patterns. Experience with modern development stacks (e.g., Java, C#, Python, Node.js, or similar) and relational/no SQL databases. Familiarity with cloud platforms (such as AWS, Azure, or GCP) and CI/CD pipelines. Ability to lead technical initiatives, mentor team members, and collaborate in cross-functional environments.

Company Description Talentseval connects businesses with top-tier IT professionals and delivers end-to-end technology solutions. The company specializes in outsourcing, ensuring organizations receive both the right expertise and measurable results. With a strong focus on quality, efficiency, and AI-driven solutions, Talentseval helps clients stay competitive in a fast-changing digital environment. Its multidisciplinary expertise covers frontend and backend development, UI/UX and product design, data science and AI, mobile app development, Dev Ops and cloud engineering, and project and product management, offering diverse opportunities for technology professionals. Role Description This is a full-time, on-site Senior Software Engineer role based in Abu Dhabi, United Arab Emirates. The Senior Software Engineer will design, develop, and maintain scalable backend and full-stack systems, contributing to architecture decisions and implementing robust, secure, and efficient solutions. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and system design. Proficiency in Software Development and Programming, with experience building complex, production-grade applications. Hands-on expertise in Back-End Web Development, including APIs, microservices, and database integration. Solid understanding and practical use of Object-Oriented Programming (OOP) principles and design patterns. Experience with modern development stacks (e.g., Java, C#, Python, Node.js, or similar) and relational/no SQL databases. Familiarity with cloud platforms (such as AWS, Azure, or GCP) and CI/CD pipelines. Ability to lead technical initiatives, mentor team members, and collaborate in cross-functional environments.

Role: AI Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $30/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Evaluation Analyst to assess and improve the performance of AI models. The role involves designing evaluation frameworks, analyzing model outputs, and ensuring alignment with business objectives.<br>Key Responsibilities:• Design and implement evaluation frameworks to assess AI model performance.• Analyze model outputs to identify strengths, weaknesses, and areas for improvement.• Collaborate with cross-functional teams to define evaluation criteria and metrics.• Document evaluation results and provide actionable insights for model refinement.• Ensure evaluations are scalable, reproducible, and aligned with industry standards.<br>Required Skills & Qualifications:• Experience with AI model evaluation, including benchmarking and validation.• Proficiency in Python and relevant libraries (e.g., Pandas, Num Py, Scikit-learn).• Familiarity with evaluation metrics such as accuracy, precision, recall, and F1-score.• Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch).• Strong analytical and problem-solving skills with attention to detail.• Ability to communicate technical findings to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge AI solutions. The position requires a structured approach to evaluating AI models and driving continuous improvement.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $100 - $230/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis. The role involves designing, developing, and maintaining software systems to support platform operations. Candidates will collaborate with cross-functional teams to deliver scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize software solutions for platform performance and scalability.• Lead code reviews and provide technical guidance to junior engineers.• Debug and resolve complex technical issues across distributed systems.• Develop and maintain APIs, microservices, and backend infrastructure.• Ensure code quality through testing, documentation, and adherence to best practices.<br>Required Skills & Qualifications:• Proficiency in multiple programming languages including Python, Java, or Go.• Experience with cloud platforms such as AWS, GCP, or Azure.• Strong understanding of data structures, algorithms, and system design.• Familiarity with containerization tools like Docker and orchestration with Kubernetes.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of a cutting-edge platform. The project involves building scalable infrastructure to support high-traffic applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We are seeking an experienced Palantir Foundry / AIP Specialist to design, develop, and deploy enterprise AI and data solutions using Palantir Foundry and Palantir Artificial Intelligence Platform (AIP). The ideal candidate should have hands-on experience building data pipelines, Ontology models, AI-powered workflows, and integrating LLMs into enterprise applications.<br>Key Responsibilities Design and develop solutions using Palantir Foundry and Palantir AIP. Build and maintain data pipelines, Ontology models, and AI-powered workflows. Develop AI applications using AIP Logic, AI Agents, and workflow automation. Integrate enterprise systems (SAP, Oracle, CRM, APIs, SQL, Cloud) with Foundry. Implement LLM, RAG, and prompt engineering solutions for enterprise use cases. Collaborate with business stakeholders to translate requirements into scalable AI solutions. Ensure platform security, governance, performance, and documentation.<br>Required Skills5–10 years of IT experience with 2–3 years of hands-on experience in Palantir Foundry and Palantir AIP. Strong experience with Ontology, Pipeline Builder, Code Workspaces, Workshop, and Data Integration. Proficiency in Python, SQL, REST APIs, and cloud platforms (Azure, AWS, or GCP). Experience with LLMs, RAG, Prompt Engineering, AI Agents, and Enterprise AI. Good understanding of AI Governance, RBAC, Security, and Data Management. Strong analytical, problem-solving, and communication skills.<br>Preferred Qualifications Experience with Spark, Kafka, Snowflake, Databricks, or Microsoft Fabric. Knowledge of Docker, Kubernetes, Git, and CI/CD. Palantir, Azure, AWS, or GCP certifications are a plus.<br>Education Bachelor's or master's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.

Job Summary We are seeking an experienced and detail-oriented Automotive Testing Engineer to join our team. You will design, plan, and execute vehicle testing programs at our proving ground, analyze test data, and provide actionable insights to support vehicle development and regulatory compliance. Key Responsibilities Plan, prepare, and execute vehicle and component tests at the proving ground, including performance, durability, safety, and functional validation. Develop detailed test plans, procedures, and protocols in accordance with industry standards. Operate and maintain test equipment, sensors, and instrumentation. Collect, process, and analyze test data using statistical and engineering tools. Collaborate with R&D, design, and engineering teams to troubleshoot and optimize vehicle performance. Ensure compliance with safety protocols and maintain accurate test documentation. Support the evaluation of emerging mobility technologies such as EV drivetrains, ADAS, and connected vehicle systems. Participate in continuous improvement initiatives to enhance testing methodologies and lab capabilities. Qualifications & Requirements Bachelor’s degree in Automotive Engineering, Mechanical Engineering, Mechatronics, or related field. Knowledge of automotive testing, vehicle validation, or mobility technology evaluation, vehicle instrumentation, data acquisition systems, and test rigs. Knowledge of vehicle dynamics, powertrain systems, ADAS, or EV systems is highly desirable. Understanding of regulatory and safety standards relevant to automotive testing. Strong analytical skills and proficiency in data analysis software (MATLAB, Python, or similar). Excellent problem-solving skills and attention to detail. Strong communication skills to document and present technical findings.

Job Summary We are seeking an experienced and detail-oriented Automotive Testing Engineer to join our team. You will design, plan, and execute vehicle testing programs at our proving ground, analyze test data, and provide actionable insights to support vehicle development and regulatory compliance. Key Responsibilities Plan, prepare, and execute vehicle and component tests at the proving ground, including performance, durability, safety, and functional validation. Develop detailed test plans, procedures, and protocols in accordance with industry standards. Operate and maintain test equipment, sensors, and instrumentation. Collect, process, and analyze test data using statistical and engineering tools. Collaborate with R&D, design, and engineering teams to troubleshoot and optimize vehicle performance. Ensure compliance with safety protocols and maintain accurate test documentation. Support the evaluation of emerging mobility technologies such as EV drivetrains, ADAS, and connected vehicle systems. Participate in continuous improvement initiatives to enhance testing methodologies and lab capabilities. Qualifications & Requirements Bachelor’s degree in Automotive Engineering, Mechanical Engineering, Mechatronics, or related field. Knowledge of automotive testing, vehicle validation, or mobility technology evaluation, vehicle instrumentation, data acquisition systems, and test rigs. Knowledge of vehicle dynamics, powertrain systems, ADAS, or EV systems is highly desirable. Understanding of regulatory and safety standards relevant to automotive testing. Strong analytical skills and proficiency in data analysis software (MATLAB, Python, or similar). Excellent problem-solving skills and attention to detail. Strong communication skills to document and present technical findings.

Role: AI Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $30/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Evaluation Analyst to assess and improve the performance of AI models. The role involves designing evaluation frameworks, analyzing model outputs, and ensuring alignment with business objectives.<br>Key Responsibilities:• Design and implement evaluation frameworks to assess AI model performance.• Analyze model outputs to identify strengths, weaknesses, and areas for improvement.• Collaborate with cross-functional teams to define evaluation criteria and metrics.• Document evaluation results and provide actionable insights for model refinement.• Ensure evaluations are scalable, reproducible, and aligned with industry standards.<br>Required Skills & Qualifications:• Experience with AI model evaluation, including benchmarking and validation.• Proficiency in Python and relevant libraries (e.g., Pandas, Num Py, Scikit-learn).• Familiarity with evaluation metrics such as accuracy, precision, recall, and F1-score.• Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch).• Strong analytical and problem-solving skills with attention to detail.• Ability to communicate technical findings to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge AI solutions. The position requires a structured approach to evaluating AI models and driving continuous improvement.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!