data scientist

ai engineer

senior ai engineer

data architect

it engineer

big data engineer

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
 </li>
 <li>
 Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
 </li>
 <li>
 Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
 </li>
 <li>
 Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
 </li>
 <li>
 Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
 </li>
 <li>
 Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
 </li>
 <li>
 Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
 </li>
 <li>
 Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong programming in Python and SQL with solid software engineering fundamentals.
 </li>
 <li>
 Hands-on experience with Spark/PySpark and big-data processing at scale.
 </li>
 <li>
 Proven experience building production ETL/ELT pipelines.
 </li>
 <li>
 Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.
 </li>
 <li>
 Experience with a modern data platform (Databricks, Snowflake, or equivalent).
 </li>
 <li>
 Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).
 </li>
 <li>
 Understanding of data warehousing concepts, data modeling, data governance, and security best practices.
 </li>
 <li>
 Experience with dashboard or frontend engineering is a plus.
 </li>
 <li>
 Strong collaboration and communication skills, with the ability to work directly with clients.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.
 </li>
 <li>
 Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.
 </li>
 </ul>
</div>

Data Engineer (6 months contract)

Klanik

<div>
 
 🚀
 
 Hiring: AI Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 
 
 &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 
 
 &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 
 
 &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 
 
 &bull; AI workflow orchestration &amp; event-driven architectures
 
 
 &bull; AI/ML model deployment &amp; inference optimization
 
 
 &bull; REST APIs, microservices &amp; distributed systems
 
 
 &bull; Integration of AI services with enterprise applications and data platforms
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 
 
 We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 
 
 You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
</div>

AI Engineer

HTC Global Services

<div>
 
 Job Description
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Data Engineer (Innovation) with 6+ years of experience to design, develop and maintain data pipelines to support AI initiatives.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Collaborate with data scientists to understand requirements and ensure data availability and quality.
 </li>
 <li>
 Implement data processing and transformation logic to prepare data for analysis and modelling.
 </li>
 <li>
 Monitor and optimize data pipelines for performance, scalability, and reliability.
 </li>
 <li>
 Stay abreast of the latest advancements in data engineering technologies and best practices.
 </li>
 <li>
 Contribute to low-level architecture/technical design aligned to the high-level solution and business
 </li>
 <li>
 requirements
 </li>
 <li>
 Work within the agile development team to analyse and decompose stories into tasks for simpler
 </li>
 <li>
 implementation
 </li>
 <li>
 Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
 </li>
 <li>
 Responsible for the end-to-end quality of your own deliverables
 </li>
 <li>
 Communicate clearly and effectively with team members throughout all the implementation lifecycle
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
 </li>
 <li>
 Strong understanding of database technologies and SQL.
 </li>
 <li>
 Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
 
 
 </li>
 </ul>
</div>

Data Engineer (Innovation)

ADNOC Group

<div>
 
 
 JOB PURPOSE:
 
 
 
 
 Develop and support implementation of strategies &amp; plans for Digital Oilfields activities in line with Company&rsquo;s objectives and priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintain the DOF Strategy and benchmarks against ADNOC Group of Companies. Design, implement and maintain ADNOC&rsquo;s Offshore the technical artificial intelligence strategy and data analytics framework in order to model complex ADNOC Offshore problems and finding opportunities by solving business related issues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunities through the use of algorithms, statistical models and visualization techniques
 
 
 
 
 KEY ACCOUNTABILITIES:
 
 
 
 
 Job Specific Accountabilities
 
 
 Artificial Intelligence
 
 
 <ul>
 <li>
 Develop and maintain ADNOC&rsquo;s Offshore artificial intelligence strategy for the core business and technical domains related to exploration, development and production
 </li>
 <li>
 Develop and maintain ADNOC&rsquo;s offshore artificial intelligence guidelines document to provide general guidance and state the minimum requirements for technical departments and projects.
 </li>
 <li>
 Work closely with discipline engineers and subject matter expertise and others in order to produce systems that utilize artificial intelligence and capable of adapting or changing based on adding data.
 </li>
 <li>
 Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized, which can be solved or improved by implementing artificial intelligence tools.
 </li>
 <li>
 Conduct regular market surveys and be aware of different technological announcements (advancements) related to artificial intelligence and data science. Compare the top ranked technologies by Garner&rsquo;s and others and evaluate the technology functionality related to oil &amp; gas industry.
 </li>
 <li>
 Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice recognition, natural language processing and time series predictions.
 </li>
 <li>
 Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a production level artificial intelligence application.
 
 
 </li>
 </ul>
 Data Science
 
 
 <ul>
 <li>
 A data scientist capable to model complex problems while realizing ADNOC&rsquo;s offshore insights and identifying opportunities through the use of algorithms, statistical models, data mining and visualization techniques.
 </li>
 <li>
 Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. Provide business metrics for the overall project to reflect improvements by periodic monitoring over multiple iterations.
 </li>
 <li>
 Conduct workshops and session to help the technical departments understand the principles and math behind the process to drive organizational buy-in and to build multi discipline teams that are capable to define, model and solve problems related to their domains.
 </li>
 <li>
 Design and launch innovative and complex analytic models and lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.
 </li>
 <li>
 Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate and maintain predictive models
 </li>
 <li>
 Educate the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
 </li>
 <li>
 Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed using appropriate data and appropriate analysis tools.
 </li>
 <li>
 Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmic statistical models as a core.
 </li>
 <li>
 Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects
 </li>
 <li>
 Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analytics technologies to be added to the big data platforms
 </li>
 <li>
 Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a new team of Data Scientists
 
 
 </li>
 </ul>
 Data Preparation
 
 
 <ul>
 <li>
 Identify what data is available and relevant, including internal and external data sources, leveraging and automating new data collection processes
 </li>
 <li>
 Support in the application of patterns and variations in the volume, speed, variety and other characteristics of data supporting the data analytics initiative
 </li>
 <li>
 Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build models related to oil and gas business.
 
 
 </li>
 </ul>
 General
 
 
 <ul>
 <li>
 Provide input for preparation of the Team / Department budgets and assist in the implementation of the approved Budget and work plans to deliver team objectives.
 </li>
 <li>
 Investigate and highlight any significant variances to support effective performance and cost control
 </li>
 <li>
 Contribute to the achievement of the approved Performance Objectives for the Team / Department in line with the Company Performance framework.
 </li>
 <li>
 Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
 </li>
 <li>
 Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.
 
 
 </li>
 </ul>
 Generic Accountabilities
 
 
 Supervision
 
 
 <ul>
 <li>
 Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
 </li>
 <li>
 Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives.
 
 
 </li>
 </ul>
 Budgets
 
 
 <ul>
 <li>
 Provide input for preparation of the Section / Department budgets and assist in the implementation of the approved Budget and work plans to deliver Section objectives.
 </li>
 <li>
 Investigate and highlight any significant variances to support effective performance and cost control
 
 
 </li>
 </ul>
 Policies, Systems, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Implement approved Section / Department policies, processes, systems, standards and procedures in order to support execution of the Section&rsquo;s / Department work programs in line with Company and International standards.
 
 
 </li>
 </ul>
 Performance Management
 
 
 <ul>
 <li>
 Contribute to the achievement of the approved Performance Objectives for the Section / Department in line with the Company Performance framework.
 
 
 </li>
 </ul>
 Innovation and Continuous Improvement
 
 
 <ul>
 <li>
 Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
 </li>
 <li>
 Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.
 
 
 </li>
 </ul>
 Health, Safety, Environment (HSE) and Sustainability
 
 
 <ul>
 <li>
 Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability guidelines in line with international standards, best practices and ADNOC Code of Practices.
 
 
 </li>
 </ul>
 Reports
 
 
 <ul>
 <li>
 Provide inputs to prepare Section MIS and progress reports for Company Management.
 
 
 </li>
 </ul>
 
 
 COMMUNICATIONS &amp; WORKING RELATIONSHIPS:
 
 
 
 
 Internal
 
 
 <ul>
 <li>
 Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplines senior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutions requirements acquisitions strategies.
 </li>
 <li>
 Frequent communications with Procurement Divisions for solutions acquisition &amp; MSU contracts.
 </li>
 <li>
 Regular contacts with various other divisions&rsquo; personnel to discuss/exchange information and advises on relevant AI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc.
 </li>
 <li>
 Daily interactions with other Specialists.
 </li>
 <li>
 Regular contact with IT representatives.
 </li>
 <li>
 Occasional contact with counterparts in ADNOC and other Group Companies for exchange of information/knowledge, shared projects and project related experience.
 </li>
 <li>
 Regular contact with ADNOC HQ Operations Excellence, R&amp;D and Panorama Unit.
 
 
 </li>
 </ul>
 External
 
 
 <ul>
 <li>
 Frequent contact with services providers, consultants, vendors etc.
 
 
 </li>
 </ul>
 
 
 QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS:
 
 
 
 
 Minimum Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline
 </li>
 <li>
 Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN)
 </li>
 <li>
 Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
 </li>
 <li>
 Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset.
 
 
 </li>
 </ul>
 
 Minimum Experience &amp; Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within the Oil &amp; Gas industry
 </li>
 <li>
 Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau).
 </li>
 <li>
 Experience with data mining and visualization tools.
 </li>
 <li>
 Experience with data preparation (pre-processing, feature engineering and feature selection), model training, application classification, regression.
 </li>
 <li>
 Experience supervised and unsupervised in machine learning algorithms.
 </li>
 <li>
 Experience with data capturing, aggregation, collation and manipulation with large data sets.
 </li>
 <li>
 Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark).
 </li>
 <li>
 Analytical mind, business insight and have strong math and statistics knowledge.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Proficient in English.
 
 
 </li>
 </ul>
 Professional Certifications
 
 
 <ul>
 <li>
 International certifications in Project management, Process improvements &amp; Standardisation, and/or Technology implementation
 
 
 </li>
 </ul>
 
 
 TECHNICAL COMPETENCIES:
 
 
 
 
 <ul>
 <li>
 As per ADNOC standard competencies
 
 
 </li>
 </ul>
 
 
 Behavioural CompetenciEs:
 
 
 
 
 <ul>
 <li>
 As per ADNOC standard competencies
 </li>
 </ul>
</div>

Specialist, Digital Emerging Technologies (Data Scientist / IOT)

bankfab

<div><div>Job Description</div>
<div>
Responsibilities:
<ul><li>Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
</li></ul><ul><li>Process and manage complex datasets to support business and analytical needs
</li></ul><ul><li>Conduct regular testing and enhancement of data pipelines to improve efficiency
</li></ul><ul><li>Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
</li></ul><ul><li>Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility
</li></ul><ul><li>Implement best practices for data governance, security, and quality assurance
</li></ul><ul><li>Document data architectures, lineage, and metadata to ensure transparency and reproducibility
</li></ul>Qualifications:
<ul><li>5+ years of experience in data engineering, ETL development, or data warehousing
</li></ul><ul><li>Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
</li></ul><ul><li>Experience with big data architectures and optimizing data pipelines
</li></ul><ul><li>Deep familiarity with SQL for data manipulation and querying
</li></ul><ul><li>Strong coding skills in Python, and at least one other language (Scala/Java)
</li></ul><ul><li>Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
</li></ul><ul><li>Strong analytical skills for working with large-scale unstructured datasets
</li></ul><ul><li>Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
</li></ul><ul><li>Educational qualifications: Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required</li></ul></div></div>
 <div><div>Responsibilities</div></div><div></div>
 <div><div>Qualifications</div></div><div></div>
 <div><div>About Us</div>
<div><div>About Us: 
</div><div></div> 
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients. 
</div><div></div> 
<div>Life at FAB: 
</div><div></div> 
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization 
</div><div></div> 
<div>Career Development: 
</div><div></div> 
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development. 
</div><div></div> 
<div>Our Values: 
</div><div></div> 
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication. 
</div><div></div> 
<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Data Architect

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 </li>
 </ul>
</div>

AI Engineer (6 months contract)

Presight

<div>
 
 
 The Opportunity:
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
 </li>
 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
 <li>
 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 </li>
 </ul>
 
 
 
 
 
 Good to have:
 
 
 <ul>
 <li>
 data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc&hellip;
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc...
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward!
 </li>
 </ul>
</div>

Senior Full Stack Engineer

Explore 430+ Big data engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.