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Position Summary<br><br>The Department of Computer Science and Engineering at the American University of Sharjah invites applications for a Postdoctoral Researcher position in AI-driven testing, verification, and fault/threat diagnosis. The successful candidate will contribute to cutting-edge research in reinforcement learning, machine learning, and intelligent system validation while collaborating with faculty, graduate students, and interdisciplinary research teams.<br><br>Job Responsibilities<br><br>Development and assessment of reinforcement and other machine learning algorithms for testing and threat detection. Publish high-quality journal papers and present at top-tier conferences. Develop software prototypes and experimental evaluation frameworks. Supervise and collaborate with graduate research assistants and students.<br><br>Professional Experience<br><br>Proven experience of development of reinforcement learning, neural networks, deep learning, Generative AI models and algorithms.<br><br>Education And Academic Qualifications<br><br>PhD in Computer Science/Engineering with expertise in machine learning. Hold a PhD awarded from a reputable institute within the past four years Proficiency in Python, Java, or C/C++; strong debugging and validation skills.<br><br>Skills & Competencies<br><br>Strong publication record in areas such as in reinforcement learning and other machine learning algorithms. Knowledge of formal modeling, testing, verification, and fault diagnosis / threat detection is recommended. Excellent problem-solving skills. Strong communication and collaboration skills in interdisciplinary teams.<br><br>How To Apply<br><br>Interested applicants should fill out the form. AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted. AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Amazon is a deeply data-driven organization with an unwavering obsession for metrics and continuous improvement. As a Data Analyst, you will play a pivotal role in transforming complex datasets from multiple sources into meaningful, actionable reports that drive business outcomes. You will uncover root-cause insights, identify trends, and deliver data-driven recommendations that directly influence decision-making.<br>Working in close partnership with Learning &amp; Development teams, you will provide analytical expertise to support strategic initiatives, measure program effectiveness, and enable the business to operate with greater precision and impact.<br>Key job responsibilities<br>- Develop and maintain data collection processes and data management systems<br>- Design and execute SQL queries to compile, transform, and generate reports<br>- Create visualizations — charts, graphs, and dashboards (Tableau, QuickSight) — to support business decision-making and dive-deep activities<br>- Build automation solutions using Python to streamline recurring analyses<br>- Prepare and publish reports for business reviews (WBR, QBR, project updates)<br>- Partner with leadership to interpret data trends and provide actionable recommendations<br>- Conduct in-depth research into defect trends to identify root causes and improvement opportunities<br>- Perform data collection, entry, and mining as needed to support operational goals<br>- Translate complex analyses into clear, digestible standard reports<br>- Support Learning team projects with analytical expertise and data-driven insights<br>- Experience with written and verbal communication and presentation<br>- Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook)<br>- Speak, write, and read fluently in English<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are hiring a visionary Principal Manager of Engineering to lead cutting edge squads for an industry leader in artificial intelligence. Our client bridges the gap between advanced research and real world impact by building secure enterprise applications for knowledge workers. As a foundational member of the team you will work in a world class environment with access to the latest tools and technologies.</p><br><p><br><b>Discover the Role</b></p><br><p>In this position you will lead and mentor a highly skilled team of front end back end and machine learning engineers. You will drive the development of solutions leveraging next generation AI and LLM technologies while collaborating directly with customers to deploy these systems onto their tech stacks. This role requires a deep understanding of machine learning along with the ability to manage project timelines and budgets effectively.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Lead a multidisciplinary team of engineers to deliver complex AI projects.</p><br></li><li><p>Define and implement best practices for AI model development and deployment.</p><br></li><li><p>Contribute to the overarching AI strategy and roadmap for the company.</p><br></li><li><p>Lead technical discussions with customers and translate complex concepts to non technical stakeholders.</p><br></li><li><p>Stay abreast of the latest research and industry trends to foster a culture of innovation.</p><br></li><li><p>Ensure ethical AI development while solving challenges in critical sectors.</p><br></li></ul><p>​</p><br><p><b>Discover the Requirements</b></p><br><ul><li><p>MS or PhD in Computer Science Machine Learning or a related field.</p><br></li><li><p>5 or more years of experience in AI or ML engineering 2 or more years of experience in a leadership role.</p><br></li><li><p>Deep expertise in natural language processing and deep learning.</p><br></li><li><p>Hands on experience with Transformer based models and LLM architectures.</p><br></li><li><p>Strong Python programming skills and familiarity with frameworks like PyTorch or TensorFlow Experience with large scale distributed computing and ML infrastructure.</p><br></li><li><p>A track record of publications or patents in the field is a plus.</p><br></li></ul><br> </div>

<ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>The GIS Specialist owns end-to-end GIS delivery, automation and development, and day-to-day administration of the GIS enterprise environment for AECOM's infrastructure, transportation, utilities and urban development projects. The role spans three areas: (1) core GIS delivery – spatial data production, analysis, quality control and design coordination; (2) automation and development – building and maintaining Python-based automation, geoprocessing tools and web GIS applications; and (3) GIS Enterprise administration – supporting ArcGIS Enterprise/Portal/Server,and cloud-hosted GIS environments. This is a hands-on, technically diverse role suited to a candidate who can deliver GIS outputs, build the tools that make delivery faster, and help keep the underlying GIS platform running reliably.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>GIS Delivery &amp; Spatial Analysis</strong></p><br><ul><li>Produce, manage and maintain spatial datasets, geodatabases and cartographic outputs for multi-discipline design teams.</li></ul><ul><li>Perform spatial analysis (overlay, buffer, network, suitability) and integrate survey, design and asset data into GIS.</li></ul><ul><li>Apply data standards, topology rules, QA/QC and metadata to ensure data accuracy, completeness and consistency, in line with the ISO 19100 series.</li></ul><ul><li>Support design coordination, constraints mapping and options analysis, and assist with authority/client submissions.</li></ul><ul><li>Manage coordinate systems, projections and transformations across local and regional datums.</li></ul><p><strong>Automation &amp; GIS Development</strong></p><br><ul><li>Design, build, test and maintain automation scripts and geoprocessing models using Python/ArcPy to streamline GIS workflows and reduce manual effort.</li></ul><ul><li>Develop and support web GIS applications and dashboards using JavaScript, the ArcGIS API, Experience Builder and StoryMaps.</li></ul><ul><li>Design and consume REST APIs, and write/optimise SQL queries against enterprise geodatabases.</li></ul><ul><li>Build and maintain FME/ETL workflows for data transformation, migration and system integration.</li></ul><ul><li>Own the full tool lifecycle – requirements, development, testing, deployment, documentation and ongoing bug-fix/maintenance support.</li></ul><ul><li>Collaborate with BIM, engineering and IT teams to integrate GIS with CDE platforms (ACC/ProjectWise) and other enterprise systems.</li></ul><p><strong>GIS Enterprise Administration</strong></p><br><ul><li>Support installation, configuration, upgrades and licensing of ArcGIS Enterprise, Portal and Server.</li></ul><ul><li>Administer user roles, permissions and security settings across ArcGIS Online/Enterprise organisations.</li></ul><ul><li>Publish, monitor and maintain map, feature and geoprocessing services; troubleshoot performance and connectivity issues.</li></ul><ul><li>Support geodatabase/SDE administration, including schema management, versioning and maintenance schedules.</li></ul><ul><li>Assist with cloud-hosted GIS deployments (Azure/AWS) and coordinate with IT on infrastructure, backups and disaster-recovery requirements.</li></ul><p><strong>Collaboration, Standards &amp; Reporting</strong></p><br><ul><li>Act as a technical point of contact for clients, authorities and project disciplines on GIS matters, as assigned.</li></ul><ul><li>Contribute to GIS Execution Plans (GEP), technical proposals and process documentation.</li></ul><ul><li>Track task progress, support estimating/scheduling of GIS deliverables, and report on production status.</li></ul><ul><li>Provide technical guidance and share knowledge with junior/associate GIS staff.</li></ul><br>Qualifications<br><p><strong>Qualifications &amp; Experience</strong></p><br><ul><li>Bachelor's degree in GIS, Geography, Geomatics, Computer Science, Software Engineering or a related discipline (Master's preferred).</li></ul><ul><li>5–8 years of relevant experience spanning GIS delivery, automation/application development, and exposure to GIS Enterprise administration.</li></ul><ul><li>Demonstrated experience developing Python/ArcPy automation and web GIS applications in a production environment.</li></ul><ul><li>Working knowledge of ArcGIS Enterprise/Portal/Server administration (installation, security, service publishing) is required; hands-on administration experience is a strong advantage.</li></ul><ul><li>Experience in an engineering, infrastructure or consultancy environment (transportation, utilities, urban development) preferred; Middle East experience an advantage.</li></ul><ul><li>Esri certification (e.g., ArcGIS Enterprise Administration, Desktop Associate/Professional) and/or a programming language certification is preferred.</li></ul><p><strong>Technical Skills</strong></p><br><ul><li>GIS platforms: ArcGIS Pro/Desktop, ArcGIS Online/Enterprise, geodatabases (SDE), ModelBuilder.</li></ul><ul><li>Programming &amp; automation: Python/ArcPy, JavaScript, ArcGIS API, REST APIs, SQL, FME/ETL.</li></ul><ul><li>GIS Enterprise administration: Portal/Server configuration, security &amp; user management, service publishing, geodatabase/SDE administration, cloud (Azure/AWS) GIS hosting.</li></ul><ul><li>Data &amp; standards: data models, schemas, metadata, QA/QC, ISO 19100 series, coordinate systems and spatial accuracy management.</li></ul><ul><li>Integration: BIM-GIS integration and CDE platforms (ACC/ProjectWise).</li></ul><ul><li>Core Microsoft Windows and Office productivity tools.</li></ul><p><strong>Core Competencies</strong></p><br><ul><li>Strong verbal and written communication; able to translate technical GIS concepts for technical and non-technical audiences.</li></ul><ul><li>Effective team collaboration and multi-discipline coordination.</li></ul><ul><li>Analytical, detail-oriented and solutions-focused approach to problem-solving.</li></ul><ul><li>Able to manage multiple tasks and deadlines, and to mentor junior staff.</li></ul><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

Role: Forward Deployed Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $300K - $650K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Forward Deployed Engineer to work on a full-time basis. This role involves deploying and integrating AI solutions directly with enterprise customers to ensure seamless implementation and adoption. The position requires close collaboration with cross-functional teams to address technical challenges in production environments.<br>Key Responsibilities:• Deploy and configure AI models and infrastructure for enterprise clients to meet performance and scalability requirements.• Troubleshoot and resolve technical issues in real-time to minimize downtime and ensure system reliability.• Collaborate with product and engineering teams to gather feedback and refine solutions based on customer needs.• Develop and maintain documentation for deployed systems to support ongoing operations and future deployments.• Provide technical leadership to customers through training, best practices, and proactive support.<br>Required Skills & Qualifications:• Experience with deploying and scaling AI/ML models in production environments is required.• Proficiency in Python and cloud platforms such as AWS, GCP, or Azure is necessary.• Strong problem-solving skills with the ability to diagnose and resolve complex technical issues.• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines is preferred.• Excellent communication skills for interacting with customers and internal stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the deployment of cutting-edge AI solutions worldwide. The position involves direct engagement with high-impact clients to drive adoption and success of technical products.<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"> Job description <p>​</p><br><p><b>​Discover the Opportunity</b></p><br><p>We’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to invest heavily in its Data &amp;amp; AI capabilities.</p><br><p>They’re looking for an experienced Data Engineer to build the scalable data infrastructure and pipelines that underpin advanced AI and machine learning solutions across the</p><br><p>business.</p><br><p>This is a hands-on engineering role where you’ll work closely with AI, ML and software engineering teams, ensuring they have access to reliable, high-quality data at scale.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Design, build and optimise scalable ETL/ELT pipelines to ingest, process and transform structured and unstructured data.</p><br></li><li><p>Develop reliable data infrastructure capable of supporting large-scale AI, machine learning and analytics workloads.</p><br></li><li><p>Continuously test, monitor and optimise data pipelines to improve performance, reliability and data integrity.</p><br></li><li><p>Work closely with AI/ML and software engineering teams to make high-quality data easily accessible for downstream applications.</p><br></li><li><p>Implement strong data quality, validation, governance and security practices across the data lifecycle.</p><br></li><li><p>Maintain clear documentation around data architecture, lineage and metadata.</p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p> 5+ years of experience in Data Engineering, ETL development, data warehousing ors imilar positions.</p><br></li><li><p>Strong hands-on experience designing and managing ETL/ELT workflows using technologies such as Airflow, dbt, Luigi or similar.</p><br></li><li><p>Excellent Python and SQL skills, alongside experience with Scala, Java or another relevant programming language.</p><br></li><li><p>Experience working with big data architectures and optimising large-scale data pipelines.</p><br></li><li><p>Hands-on experience with cloud data environments across Azure, AWS or GCP.</p><br></li><li><p>Experience processing and managing large-scale structured and unstructured datasets.</p><br></li><li><p>Strong understanding of data quality, governance, monitoring and engineering best practices.</p><br></li><li><p>Excellent problem-solving skills with the ability to diagnose performance and data issues.</p><br></li><li><p>Bachelor’s degree in Computer Science, Engineering or a related technical discipline.</p><br></li></ul><p><b>Why Join?</b></p><br><ul><li><p>Work on large-scale Data &amp;amp; AI initiatives within a highly ambitious technology environment</p><br></li><li><p>Build the data foundations behind production AI and machine learning solutions</p><br></li><li><p>Work alongside experienced Data, AI, ML and Software Engineers</p><br></li><li><p>Take ownership of technically challenging data engineering problems with genuine business impact</p><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>CNS&nbsp;is a technology company that powers the future by providing digital solutions essential to support all enterprise and human development. While growing and managing a robust pool of supplier-partners for the benefit of our clients has always been a priority, we are constantly re-inventing ourselves.<br> Founded in 1987 with more than 30 years of experience, CNS employs over 320 employees including more than 250 certified engineers. We offer in-depth expertise and a range of best-in-class products that support the digital transformation of all major industries. With offices in three countries, we have an extensive reach into, and regional knowledge of the Middle East markets.<br> A shift into levering our many years of experience to develop pioneering software in-house will add yet another dimension to our highly innovative solutions-portfolio.</p><br><br>Job Description<br><p>We are looking for a motivated and proactive Software Engineer - Emirati Talent with around two years of professional experience to join our team. The ideal candidate is an Emirati software engineer who takes ownership of their work, enjoys solving challenging technical problems, and is eager to learn and grow in a collaborative environment.</p><br><p><strong>DUTIES &amp; RESPONSIBILITIES</strong><br> • Design, develop, test, and maintain scalable web applications and backend services.<br> • Take ownership of assigned features from design through deployment and support.<br> • Collaborate with cross-functional teams to deliver high-quality software solutions.<br> • Write clean, maintainable, and well-documented code.<br> • Troubleshoot, debug, and resolve production issues efficiently.<br> • Participate in code reviews and contribute to the continuous improvement of development practices.<br> • Ensure applications are secure, performant, and reliable.</p><br><br>Qualifications<br><p><strong>Education:</strong><br> • Bachelor's degree in Computer Science, Software Engineering.<br> • Relevant technical experience in software development, cloud, DevOps, or related areas.</p><br><p><strong>Experience</strong><br> • Around two years of professional software development experience.<br> • Experience across the software development lifecycle, production support, RESTful APIs, microservices, CI/CD, or cloud platforms.</p><br><p><strong>Skills &amp; Abilities</strong><br> • Python and Flask; Java and Spring Boot; PostgreSQL; basic React.js; Docker or<br> • ClickUp, RESTful APIs, microservices architecture, CI/CD pipelines, and cloud platforms.</p><br><br>Additional Information<br><p><em>Compliance with policies and procedures based on the ISO standards adopted by CNS.</em></p><br><br><br> </div>

menu close<br><br>Capture<br><br>Connect<br><br>Control<br><br>Company Careers 4 Contact<br><br>WH #7, Bin Bishr Building<br><br>Ras Al Khor, Dubai<br><br>+971 54 582 2023<br><br>info@resolute-dynamics.com<br><br>AI / ML Engineer<br><br>Apr 2, 2025 Resolute Dynamics<br><br>About The Role<br><br>We are looking for an AI/ML Engineer to join our team and contribute to the development, deployment, and optimization of machine learning models for real-world applications. This role provides an opportunity to work on cutting-edge AI technologies, improve model performance, and drive innovation in artificial intelligence and machine learning.<br><br>The Principal Responsibilities Of The AI /ML Engineer Are<br><br>Design, develop, and optimize machine learning models for various applications. Collect, preprocess, and analyze large datasets to improve model accuracy and efficiency. Deploy, monitor, and maintain ML models in production environments. Implement and fine-tune deep learning architectures using frameworks like Tensor Flow and PyTorch. Collaborate with cross-functional teams to integrate AI-driven solutions into products and services. Stay up to date with the latest advancements in AI, ML, and data science to enhance system performance.<br><br>Requirements<br><br>Qualifications Required<br><br>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms, deep learning techniques, and statistical modeling. Proficiency in Python and experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit-Learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation. The ability to effectively communicate technical concepts verbally and in writing. Ability to operate in a fast-paced environment, make effective and timely decisions, and solve complex problems.<br><br>Qualifications Preferred<br><br>Master’s degree or PhD in AI, Machine Learning, or a related field. At least 2+ years of professional experience in AI/ML development. Experience working with cloud platforms (AWS, GCP, or Azure) for ML model deployment. Knowledge of MLOps, model monitoring, and performance optimization techniques. Familiarity with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Prior experience working at a startup or fast-growing tech company.<br><br>Aug 26, 2026<br><br>Building a Unified Fleet Data API Gateway<br><br>Most fleets do not run one telematics system; they run several, and each one keeps its data behind its own login, its own API, and its own format. A unified fleet data API gateway solves this by putting a single, consistent interface in front of every vendor, so each vehicle<br><br>Read More<br><br>Stay up-to-date with what's next<br><br>Δ<br><br>By signing up to receive emails from Resolute, you agree to our Privacy Policy.<br><br>segments<br><br>Capture Connect Control<br><br>the company<br><br>ABOUTBLOGCAREERSCONTACTSITEMAP<br><br>Social<br><br>Linked InInstagram Facebook<br><br>Contact<br><br>Bin Bishr Building – Warehouse No:07, Ras Al Khor Industrial Area 1, Dubai, UAE<br><br>PO Box No : 35450<br><br>Phone: +971 54 582 2023<br><br>Email: info@resolute-dynamics.com<br><br>© 2026 Resolute Dynamics.<br><br>Privacy policy Press resources

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>AI Engineer</u></strong> <p>We are seeking an experienced <strong>AI Engineer</strong> to design, develop, and deploy next-generation AI solutions that leverage Large Language Models (LLMs), agentic AI frameworks, and cloud-native technologies. This role will focus on building intelligent AI agents, integrating enterprise systems, and delivering scalable, secure, and production-ready AI applications.</p><br><br> <p>The successful candidate will combine strong software engineering expertise with practical experience in LLMs, AI orchestration, and cloud technologies to create innovative solutions that drive business value.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain AI-powered applications and agentic workflows. </li><li>Build and optimize AI agents, including orchestration, planning, routing, and multi-agent collaboration capabilities. </li><li>Develop integrations with enterprise applications, APIs, tools, and external systems. </li><li>Implement memory management, contextual reasoning, and state management capabilities within AI solutions. </li><li>Design and enforce AI safety mechanisms, guardrails, content moderation, and responsible AI practices. </li><li>Build evaluation frameworks and automated testing processes to measure AI performance, reliability, and accuracy. </li><li>Develop scalable backend services and microservices using Python and modern API frameworks. </li><li>Deploy and manage AI services using containerized and cloud-native architectures. </li><li>Optimize the performance, latency, scalability, and cost efficiency of AI workloads. </li><li>Collaborate closely with product, engineering, architecture, and business stakeholders to deliver end-to-end AI solutions. </li><li>Produce high-quality technical documentation and participate in code reviews and engineering best practices.&nbsp; </li></ul> <strong><u>Required Skills &amp; Experience</u></strong> <ul> <li>5–8 years of experience in software engineering, AI engineering, or related technical roles. </li><li>Strong proficiency in Python and/or TypeScript. </li><li>Hands-on experience working with Large Language Models (LLMs), generative AI solutions, and AI agent frameworks. </li><li>Experience building and deploying REST APIs and microservices using frameworks such as FastAPI. </li><li>Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering. </li><li>Experience with Docker, cloud platforms, CI/CD pipelines, and modern software delivery practices. </li><li>Knowledge of cloud architecture, preferably Microsoft Azure. </li><li>Understanding of AI security, authentication, data governance, and responsible AI principles. </li><li>Experience optimizing production AI applications for scale, performance, and operational efficiency.&nbsp; </li></ul> <strong><u>Preferred Qualifications</u></strong> <ul> <li>Experience with enterprise AI platforms and agentic AI ecosystems. </li><li>Familiarity with model evaluation frameworks and AI quality assurance methodologies. </li><li>Experience developing AI applications in regulated or enterprise environments. </li><li>Exposure to multi-agent systems and advanced orchestration patterns. </li><li>Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.&nbsp; </li></ul> <strong><u>Key Competencies</u></strong> <ul> <li>Strong analytical and problem-solving capabilities. </li><li>Ownership mindset with a focus on quality and delivery. </li><li>Excellent collaboration and communication skills. </li><li>Ability to work effectively in cross-functional teams. </li><li>Passion for continuous learning and keeping pace with emerging AI technologies </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose <br><p><span>Provide techno-functional support for corporate travel technology solutions, including GDS platforms, Online Booking Tools (OBTs), API integrations, B2B/POS systems, and expense management solutions. Partner with business teams, customers, and vendors to deliver system enhancements, resolve technical issues, and support project implementation while ensuring solutions align with business requirements and operational objectives.</span></p><br><br>Key Result Responsibilities <br><ul><li><span>Act as the primary techno-functional point of contact for travel technology solutions, facilitating effective communication between internal business teams, technical teams, external customers, vendors, and implementation partners. Gather requirements, provide functional guidance, resolve issues, and ensure successful delivery of business and technical objectives.&nbsp;</span></li><li><span>Support, maintain, and troubleshoot travel technology solutions built on Global Distribution Systems (GDS), including Travelport, Amadeus, and Sabre. Investigate functional and technical issues, coordinate with vendors where required, and ensure system stability, performance, and service continuity.&nbsp;</span></li><li><span>Support the integration, configuration, and maintenance of Air and Non-Air APIs by working closely with development teams and third-party providers. Assist in validating integrations, troubleshooting interface issues, and ensuring seamless connectivity between internal systems and external travel service providers.&nbsp;</span></li><li><span>Provide techno-functional support for the implementation, configuration, enhancement, and maintenance of Online Booking Tools (OBTs) for corporate customers. Ensure solutions are aligned with client travel policies, operational requirements, and best industry practices while supporting user adoption and issue resolution.&nbsp;</span></li><li><span>Support the development, enhancement, testing, and maintenance of online B2B portals and Point-of-Sale (POS) systems by collaborating with business users, developers, and vendors to improve functionality, user experience, and operational efficiency.&nbsp;</span></li></ul><br>Key Result Responsibilities-Continued <br><ul><li><span>Perform analysis and maintenance of corporate travel data, including customer profiles, travel policies, negotiated rates, supplier information, and reporting data. Ensure data accuracy, integrity, and consistency across travel management systems.&nbsp;</span></li><li><span>Support the implementation, integration, configuration, and ongoing administration of expense management solutions, such as SAP Concur or equivalent platforms. Coordinate with stakeholders to resolve system issues, support enhancements, and ensure smooth integration with travel booking and financial systems.&nbsp;</span></li><li><span>Partner closely with corporate travel business teams to understand operational processes, identify business needs, and translate functional requirements into practical technology solutions. Prepare functional specifications, support solution design, and ensure delivered solutions meet business objectives.&nbsp;</span></li><li><span>Apply project management principles to plan, coordinate, monitor, and deliver technology initiatives by managing project schedules, milestones, dependencies, risks, and stakeholder communications to ensure timely and successful project execution.&nbsp;</span></li><li><span>Coordinate User Acceptance Testing (UAT), defect tracking, issue resolution, and change management activities across business users, technical teams, vendors, and customers. Ensure testing is completed successfully, implementation risks are mitigated, and system changes are deployed with minimal business disruption.</span></li></ul><br>Qualifications (Academic, training, languages) <br><ul><li><span>Minimum bachelor’s degree in IT, Computer Science, or a related field</span></li><li><span>Solid understanding of GDS systems – Travelport, Amadeus, Sabre (scripting/command knowledge not required, but a plus).</span></li><li><span>Working knowledge of Air/Non-Air APIs (technical).</span></li><li><span>Hands-on exposure to Online Booking Tools (OBT, B2B).</span></li><li><span>Strong corporate travel business experience – mandatory.</span></li><li><span>Demonstrated project management capability.</span></li><li><span>Basic SQL/database querying skills.</span></li><li><span>Programming language such as Python, C# is good to have</span></li><li><span>Familiarity with ticketing/ITSM tools (JIRA, ServiceNow, or similar).</span></li><li><span>Strong analytical and problem-solving abilities.</span></li><li><span>Good documentation skills (BRD/FRD, SOPs, process notes).</span></li><li><span>Ability to multitask and work under tight deadlines.</span></li><li><span>Collaborative, team-oriented approach.</span></li></ul><br>Work Experience <br><ul><li><span>With 4-6 years of experience preferably within travel technology or large travel companies.</span></li><li><span>Experience with expense management platforms, especially SAP Concur or similar.</span></li></ul><br><br> </div>

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

Senior AI Engineer On-site | Abu Dhabi<br>Applied AI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services. <br>Opus is the world's first Knowledge Work AI platform. Built by Applied AI to pioneer Supervised Automation, a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals. <br>The platform uses its proprietary Large Work Model to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities. <br>Role Overview: <br>As a Senior AI Engineer, you’ll play a key role in the design, evolution, and delivery of Opus’s end-to-end AI infrastructure, spanning model serving, orchestration, prompt alignment, workflow intelligence, and agent systems. <br>Your mission is to ensure that every AI-powered feature across the platform operates with reliability, clarity, and measurable excellence in both performance and user experience.<br>You will guide a multidisciplinary UAE-based team of engineers working across model pipelines, workflow representations, and agentic frameworks. Together, you will refine the systems that connect foundational models, structured process data, and real-world user interactions. <br>Key Responsibilities:<br>Design and evolve high-performance AI serving and orchestration pipelines. Refactor existing systems for clarity, modularity, and maintainability. Improve runtime latency, reliability, and quality metrics across live AI features. Build observability and error-tracking layers to detect regressions before they reach users. Guide prompt and alignment strategies, ensuring consistent model behavior and semantic fidelity across all user-facing features. Collaborate with product teams to ensure AI responses meet quality, stability, and response-time targets. Uphold engineering standards across performance, documentation, and code quality. Lead design reviews, incident analysis, and optimization cycles across Opus AI modules. <br>Qualifications:<br>3-5 years in ML engineering, ideally within a Saa S / Product organisation. Expert in Python. Strong background in real-time model serving, orchestration (Airflow, Celery, Kubernetes), and observability systems. Familiarity with LLM pipelines, workflow modeling, and agent-based AI frameworks. Experience deploying and optimizing inference pipelines (e.g. LLMs, CV or similar APIs). Skilled in monitoring, benchmarking, and system observability. Experience mentoring engineers and managing cross-functional delivery cycles. Proven ability to translate complex AI systems into reliable, scalable, and high-quality user-facing products. Experience improving LLM response consistency and user-facing reliability. Bonus: Experience building and deploying chatbots or conversational AI systems that integrate LLMs, APIs, and user interaction flows.<br>Why join Applied AI:<br>Opportunity to work with a highly innovative AI technology company. Collaborative and innovative work environment. Growing, entrepreneurial and forward-thinking culture. Career growth and professional development opportunities. Exposure to a thriving ecosystem working from our Abu Dhabi HQ.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>NYU Abu Dhabi invites applications for a Kawader Research Assistant Fellow position in </span><span>Silicon Photonic Hardware for Neuromorphic Computing</span><span> within the </span><span>Photonics Research Laboratory</span><span> in the </span><span>Division of Engineering</span><span>.</span></p><br><br> <p><span>The Photonics Research Group at New York University Abu Dhabi seeks a motivated Research Assistant to support research on silicon photonic hardware for neuromorphic computing. The project focuses on developing integrated photonic devices and circuits for energy-efficient artificial intelligence, information processing, and computing applications.</span></p><br><br> <p><span>The successful candidate will contribute to the design, simulation, experimental characterization, and testing of silicon and silicon nitride photonic devices. The research may involve programmable photonic circuits, optical neural networks, photonic reservoir computing, non-volatile photonic devices, and the integration of emerging materials with silicon photonics.</span></p><br><br> <span>What the Program Offers</span> <ul> <li> <p><span>Full-time paid research position for up to 3 years.</span></p><br><br> </li> <li> <p><span>Mentorship by NYUAD faculty.</span></p><br><br> </li> <li> <p><span>Professional development and training opportunities.</span></p><br><br> </li> <li> <p><span>Exposure to cutting-edge research in silicon photonics, integrated photonic circuits, and neuromorphic computing.</span></p><br><br> </li> <li> <p><span>Opportunities to develop expertise in silicon photonic device design, experimental characterization, laboratory automation, and scientific programming.</span></p><br><br> </li> <li> <p><span>Opportunities to contribute to technical reports, journal publications, and conference papers.</span></p><br><br> </li> <li> <p><span>Mentoring and preparation for graduate studies or careers in photonics, semiconductor technology, and artificial intelligence hardware.</span></p><br><br> </li> </ul> <span>Key Responsibilities</span> <ul> <li> <p><span>Design and simulate silicon photonic devices and integrated circuits for neuromorphic computing.</span></p><br><br> </li> <li> <p><span>Conduct optical and electrical characterization of photonic devices and systems.</span></p><br><br> </li> <li> <p><span>Develop scripts for instrument control, automated measurements, and data analysis.</span></p><br><br> </li> <li> <p><span>Support device fabrication, packaging, testing, and integration into experimental computing platforms.</span></p><br><br> </li> <li> <p><span>Document research results and contribute to technical reports, presentations, publications, and conference papers.</span></p><br><br> </li> </ul> <span>Supervision</span> <p><span>Supervised by Dr. Mahmoud Rasras</span></p><br><br> <br> <br>Qualifications<span>Required</span> <ul> <li> <p><span>Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Photonics, Applied Physics, or a closely related field is required.</span></p><br><br> </li> <li> <p><span>Basic knowledge of optics, electromagnetics, semiconductor devices, or integrated photonics.</span></p><br><br> </li> <li> <p><span>Programming and data-analysis experience using Python, MATLAB, or similar tools.</span></p><br><br> </li> <li> <p><span>Strong analytical, organizational, communication, and teamwork skills.</span></p><br><br> </li> </ul> <span>Preferred</span> <ul> <li> <p><span>Previous research or project experience in silicon photonics, integrated optics, optoelectronics, or neuromorphic computing.</span></p><br><br> </li> <li> <p><span>Familiarity with photonic simulation tools such as Ansys Lumerical, COMSOL Multiphysics, or similar software.</span></p><br><br> </li> <li> <p><span>Experience with optical measurements, automated test systems, device fabrication, packaging, or machine-learning methods.</span></p><br><br> </li> </ul> <span>Specialized Technical, Laboratory, Computational, or Research Competencies</span> <p><span>The role requires experience or an interest in developing skills in:</span></p><br><br> <ul> <li> <p><span>Silicon photonic device design</span></p><br><br> </li> <li> <p><span>Electromagnetic simulation</span></p><br><br> </li> <li> <p><span>Fiber-to-chip optical coupling</span></p><br><br> </li> <li> <p><span>Optical and electrical testing</span></p><br><br> </li> <li> <p><span>Laboratory automation</span></p><br><br> </li> <li> <p><span>Scientific programming</span></p><br><br> </li> <li> <p><span>Data analysis</span></p><br><br> </li> <li> <p><span>Photonic computing</span></p><br><br> </li> <li> <p><span>Neuromorphic hardware</span></p><br><br> </li> </ul> <span>Learning Outcomes and Professional Development</span> <p><span>The Research Assistant will gain practical experience in silicon photonic device design, photonic integrated-circuit testing, optical and electrical measurements, experimental automation, and neuromorphic computing. The role also provides opportunities to strengthen scientific writing, presentation, teamwork, and research problem-solving skills, contribute to publications and conference presentations, and receive mentoring for graduate studies or careers in photonics, semiconductor technology, and artificial-intelligence hardware.</span></p><br><br> <br>Application Instructions<br> <ol> <li> <p><span>CV</span></p><br><br> </li> <li> <p><span>Statement of interest (1 page)</span></p><br><br> </li> <li> <p><span>Transcript(s)</span></p><br><br> </li> <li> <p><span>Two letters of recommendation or referee contacts</span></p><br><br> </li> </ol> <p><span><span>For questions regarding the position, please contact </span><span>nyuad.kawader@nyu.edu</span><span>.</span></span></p><br><br> <span>Additional Program Information</span> <p><span>UAE nationals are encouraged to apply</span></p><br><br> <p><span><span>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage:</span><span>https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html</span></span></p><br><br> <p><span><span>Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has </span><span>two distinctive paths</span><span> designed for </span><span>(Emirati)</span><span> graduates considering a graduate degree or a career in research.</span></span></p><br><br> <p><span><span>For further information or questions regarding the position/program please contact </span><span>nyuad.kawader@nyu.edu</span><span>(due to the high volume of emails received, please allow 5 working days for a response)</span></span></p><br><br><br> </div>

???? We’re Hiring: Data Scientist???? Location: United Arab Emirates (Remote)???? Employment Type: Part-Time???? Experience Level: Mid-Level to Senior???? Work Arrangement: Fully Remote About UsWe are a globally focused organization that uses data, technology, and intelligent analytics to support better business decisions. Our teams transform complex information into practical insights that improve performance, customer experiences, operational efficiency, and long-term growth. We value analytical thinking, innovation, responsible use of data, and collaboration across disciplines. The Role We are seeking a Data Scientist to turn business and operational data into meaningful insights, predictive models, and data-driven recommendations. In this part-time remote role, you will work closely with business and technology teams to identify opportunities, develop analytical solutions, and communicate findings that support strategic and operational decision-making. Key Responsibilities Analyze structured and unstructured data to identify trends, patterns, and opportunities. Develop statistical models and machine learning solutions for business applications. Translate business questions into measurable analytical objectives. Clean, prepare, validate, and transform datasets for analysis. Design experiments and evaluate model performance and reliability. Build dashboards, reports, and visualizations to communicate key findings. Monitor analytical models and recommend improvements when performance changes. Collaborate with engineering, product, finance, marketing, and operations teams. Present complex analytical results in clear, business-friendly language. Support data-driven initiatives, automation, forecasting, and continuous improvement. Requirements Bachelor’s degree or equivalent qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field preferred.3+ years of relevant data science, analytics, or quantitative experience preferred. Strong understanding of statistics, predictive modeling, and machine learning concepts. Knowledge of data preparation, feature development, model evaluation, and visualization. Familiarity with Python, SQL, and commonly used analytical tools. Understanding of databases, data structures, and data quality principles. Strong analytical and problem-solving abilities. Ability to explain technical findings to non-technical stakeholders. Strong communication, organization, and independent working skills. Professional certifications are not required unless specifically relevant to the role. What We Offer Flexible part-time working arrangements within a fully remote environment. Competitive compensation aligned with experience and responsibilities. Opportunities to work on practical data and AI-driven business initiatives. Exposure to international teams, diverse datasets, and cross-functional projects. Opportunities to strengthen technical, analytical, and business skills. A collaborative culture that encourages innovation, experimentation, and continuous learning.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Senior BI Developer</u></strong> <ul> <li>2 Year extendable contract </li><li>Abu Dhabi | Office Based </li></ul> <p>Our client is undergoing a large-scale digital and data transformation and is seeking an experienced <strong>Senior BI Developer</strong> to help drive data-driven decision-making across the organization. This is an opportunity to work with modern analytics platforms, build high-impact dashboards, and translate complex datasets into meaningful business insights.&nbsp;</p><br><br> <p>The ideal candidate combines strong technical expertise with a passion for data storytelling, enabling stakeholders to make informed decisions through intuitive and actionable visualizations.&nbsp;</p><br><br> <u><strong>Role Purpose</strong></u> <p>This role goes beyond traditional report development. You will be responsible for designing and delivering insightful, narrative-driven dashboards that communicate the story behind the data and support strategic and operational decision-making. You will play a key role in transforming complex information into clear, actionable insights for business leaders.&nbsp;</p><br><br> <u><strong>Key Responsibilities</strong></u> <ul> <li>Design and develop impactful dashboards and reports using Power BI and other BI visualization tools. </li><li>Create engaging visual experiences that present complex data in a clear and actionable way. </li><li>Apply best practices in data visualization and dashboard design to enhance user adoption and business value.&nbsp; </li><li><span>Own the end-to-end BI development lifecycle, from data preparation and modeling through to dashboard deployment and optimization.</span> </li><li>Develop scalable and maintainable reporting solutions that meet business requirements. </li><li>Ensure data accuracy, consistency, and performance across reporting environments.&nbsp; </li><li>Build and optimize semantic models to support enterprise-wide self-service analytics. </li><li>Design efficient data models that enable consistent reporting and performance at scale.&nbsp; </li><li>Work within an Agile/Scrum framework to deliver high-quality reporting and analytics solutions. </li><li>Collaborate closely with business stakeholders, product owners, and technical teams to deliver value in iterative releases. </li><li>Gather requirements and translate business challenges into technical solutions. </li><li>Present analytical insights and recommendations to both technical and non-technical audiences. </li><li>Partner with stakeholders to understand reporting needs and continuously improve analytical capabilities. </li></ul> <u><strong>Skills &amp; Experience</strong></u> <u>Required</u> <ul> <li>5-7 years of experience in Business Intelligence, Analytics, or Reporting development. </li><li>Expert-level experience with <strong>Power BI</strong>, including dashboard development, DAX, and data modeling. </li><li>Strong SQL skills with experience writing complex and optimized queries. </li><li>Experience working with large-scale data platforms such as <strong>Databricks</strong>. </li><li>Proficiency with Python for data analysis and transformation. </li><li>Strong understanding of semantic modeling and self-service BI principles. </li><li>Demonstrated ability to create business-focused, narrative-driven dashboards. </li><li>Excellent communication and stakeholder management skills. </li><li>Experience working in Agile development environments </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ADIC is seeking a Quantitative Researcher to join the Strategy team.<br> The successful candidate will play a key role in supporting ADIC's investment process through quantitative research, model development, and AI-driven solutions.<br> This role offers the opportunity to contribute to investment decision-making across both public and private markets by developing systematic signals, valuation models, and portfolio construction tools.<br> The successful candidate will work closely with investment professionals across the Strategy team to enhance quantitative capabilities and support the development of innovative investment solutions.<br> Key Responsibilities Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques.<br> Conduct quantitative research and develop valuation models across both public and private markets.<br> Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks.<br> Build and enhance risk models, performance attribution frameworks, and investment analytics.<br> Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment.<br> Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights.<br> Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes.<br> RequirementsExperience Minimum 5 years of relevant experience in quantitative research, systematic investing, portfolio construction, asset allocation, or investment strategy.<br> Experience conducting quantitative research across public markets, with exposure to private markets considered advantageous.<br> Proven experience designing, backtesting, and implementing quantitative models or systematic investment strategies.<br> Experience applying AI and machine learning techniques to financial datasets and developing production-ready analytical tools.<br> Education Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, Physics, or another quantitative discipline.<br> Master's degree or PhD is considered a strong advantage.<br> Technical Skills &amp; Knowledge Strong programming skills in Python or another object-oriented language, with experience developing production-quality code.<br> Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation.<br> Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.<br> Knowledge of SQL, cloud platforms, and Git-based development practices.<br> Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation.<br> Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<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) is seeking a Research Engineer to lead the development of modern data engineering infrastructure supporting multidisciplinary environmental and climate research. This role offers an exciting opportunity to work with researchers across marine science, climate science, biodiversity, and environmental monitoring to build scalable data platforms that enable world-class research and evidence-based decision making.</p><br><br> <p>The successful candidate will design and maintain cloud-based data infrastructure, develop automated data pipelines, integrate diverse scientific datasets, and implement data governance and quality assurance frameworks. Working closely with faculty, researchers, software developers, and external collaborators, the Research Engineer will help develop analytical platforms that support environmental monitoring, artificial intelligence applications, geospatial analytics, and long-term research data management.</p><br><br> <p>Candidates should hold a Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related discipline, with demonstrated experience in Python, SQL, cloud computing, data engineering, and modern software development practices. Experience working with scientific data, geospatial information, environmental monitoring systems, or research infrastructure is highly desirable.</p><br><br> <p><span>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. Shortlisted candidates will provide at least 2 contact references, all in PDF format.</span></p><br><br> <p><span>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</span></p><br><br> <p><strong><span>About NYU Abu Dhabi</span></strong></p><br><br> <p><span>https://nyuad.nyu.edu/en/</span></p><br><br> <p><span>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. </span></p><br><br> <p><span>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.</span></p><br><br> <p><span>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.</span></p><br><br> <br> <p><strong><span>Working for NYUAD</span></strong></p><br><br> <p><span> 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. </span></p><br><br> <p><span>Visit our website for more information on benefits for you and your dependents.</span></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>