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data analytics engineer

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Quantum One | Q One

<div>
 <p>
  <strong>
   <em>
    About Us
   </em>
  </strong>
 </p>
 <p>
  <strong>
   Quantum One
  </strong>
  is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 </p>
 <p>
  We&rsquo;re looking for a highly skilled and motivated
  <strong>
   Data Scientist
  </strong>
  to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Our Offer &amp; Your Growth
   </em>
  </strong>
 </p>
 <p>
  We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Core Responsibilities
   </em>
  </strong>
 </p>
 <p>
  As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 </p>
 <ul>
  <li>
   Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
  </li>
  <li>
   Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
  </li>
  <li>
   Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Qualifications
   </em>
  </strong>
 </p>
 <p>
  We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Experience:
   </strong>
   A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
  </li>
  <li>
   <strong>
    Language Proficiency:
   </strong>
   Fluent English is mandatory for effective communication with our international team and clientele.
  </li>
  <li>
   <strong>
    Technical Foundation:
   </strong>
   Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Machine Learning Expertise:
  </strong>
 </p>
 <ul>
  <li>
   Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
  </li>
  <li>
   Model Interpretation: Experience utilizing tools like SHAP for model explainability.
  </li>
  <li>
   Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Advanced AI Systems (Highly Valued):
  </strong>
 </p>
 <p>
  Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 </p>
 <ul>
  <li>
   Frameworks: LangChain.
  </li>
  <li>
   Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Scientist

Deeplight AI

<div>
 <strong>
  DeepLight AI
 </strong>
 is a specialist consultancy implementing intelligent enterprise systems, with deep expertise in financial services and banking. We are seeking a
 <strong>
  Generative AI Engineer
 </strong>
 to join our team, focusing on turning advanced research into high-impact, production-ready enterprise solutions.
 <br/>
 <br/>
 You won't just train models; you will
 <strong>
  design, build, and own the entire lifecycle of AI systems
 </strong>
 that leverage Large Language Models (LLMs), RAG, and Multimodal AI to solve our clients' most complex problems.
 <br/>
 <br/>
 <strong>
  The Challenge: Owning the LLM Production Pipeline
  <br/>
  <br/>
 </strong>
 This role demands a unique combination of applied machine learning, data engineering, and scalable software delivery, operating entirely within a robust
 <strong>
  MLOps/LLMOps framework
 </strong>
 .
 <br/>
 <br/>
 <strong>
  🛠️ What You Will Be Doing (Key Responsibilities):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design &amp; Deliver GenAI Solutions: Leading the implementation of LLM-based applications, including custom chatbots, advanced summarization services, and creative co-pilots
  </li>
  <li>
   Model Optimization &amp; Steering: Applying cutting-edge techniques like fine-tuning, LoRA/PEFT, and RLHF to optimize model performance and ensure factual accuracy
  </li>
  <li>
   RAG System Architecture: Architecting and building high-performance Retrieval-Augmented Generation (RAG) pipelines, managing the full lifecycle of embeddings and context-aware retrieval
  </li>
  <li>
   Production Code: Writing robust, deployment-ready software in Python and TypeScript, delivering clean, modular code
  </li>
  <li>
   MLOps Automation: Implementing full LLMOps/MLOps using Docker, Kubernetes, and Terraform to automate CI/CD, deployment, and versioning across major cloud platforms (AWS/GCP/Azure)
  </li>
  <li>
   Data Grounding: Ensuring model intelligence is fresh and reliable by connecting to Airflow, dbt, and Kafka pipelines
  </li>
  <li>
   Governance &amp; Safety: Embedding responsible AI practices, including hallucination control, bias mitigation, and auditability, into every deployed system
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep knowledge of transformers, diffusion models, and advanced prompt engineering
  </li>
  <li>
   Proven expertise in embeddings, vector databases, and designing context-aware retrieval pipelines
  </li>
  <li>
   Proficiency in Python, REST APIs, containerization, CI/CD, and model versioning
  </li>
  <li>
   Proficiency in Python and TypeScript; core ML development using PyTorch, TensorFlow, and the Hugging Face ecosystem
  </li>
  <li>
   Expertise with LangChain, LlamaIndex, and APIs from OpenAI/Anthropic
  </li>
  <li>
   Use of MLflow and Weights &amp; Biases for experiment tracking and versioning, leveraging platforms like Vertex AI or SageMaker
  </li>
  <li>
   Mastery of Docker, Kubernetes, and Terraform for scalable deployment across major clouds (AWS, GCP, Azure)
  </li>
  <li>
   Familiarity with Airflow, dbt, Postgres, and Kafka for data ingestion and transformation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-7 years in AI/ML, with a critical 1-3 years hands-on with LLMs or production GenAI applications
  </li>
  <li>
   Proven delivery of production-grade GenAI tools in agile, rapid-iteration environments
  </li>
  <li>
   BSc/MSc in Computer Science, Data Science, or a related technical field
  </li>
  <li>
   Experience with model evaluation, data privacy, and bias mitigation
  </li>
  <li>
   Hands-on experience with ChromaDB, Pinecone, Weaviate, and FAISS for retrieval and embedding management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits &amp; Growth Opportunities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary
  </li>
  <li>
   Comprehensive health insurance
  </li>
  <li>
   Ongoing professional development
  </li>
  <li>
   Opportunity to work on cutting-edge AI projects
  </li>
  <li>
   Flexible working arrangements
  </li>
  <li>
   Career advancement opportunities in a rapidly growing AI company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
  <br/>
  <br/>
 </strong>
 <em>
  Please note: If you fail to meet the required criteria in the screening questions, your application will not be progressed
 </em>
</div>


GenAI Engineer

Nabat

<div>
 <p>
  <strong>
   Who is Nabat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
  </strong>
  We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If this mission resonates with you, let&rsquo;s talk.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   What is the role?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
  <strong>
   Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Relocation to the UAE is required
  </strong>
  &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹 Your responsibilities will include:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   Act as senior/staff-level individual contributor
  </strong>
  to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 </p>
 <p>
  &bull;
  <strong>
   Research, develop, train, validate, refine and deploy models
  </strong>
  that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 </p>
 <p>
  Some of the problems you might be working on using satellite and drone imagery:
 </p>
 <p>
  &EmptyVerySmallSquare;️ land use/cover classification
 </p>
 <p>
  &EmptyVerySmallSquare;️ identification of plant native and invasive species
 </p>
 <p>
  &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 </p>
 <p>
  &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 </p>
 <p>
  &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 </p>
 <p>
  &EmptyVerySmallSquare;️ detecting ecosystems at risk
 </p>
 <p>
  &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 </p>
 <p>
  &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 </p>
 <p>
  &bull; In close collaboration with software and data engineers,
  <strong>
   design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
  </strong>
  for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 </p>
 <p>
  &bull;
  <strong>
   Communicate and collaborate cross-functionally
  </strong>
  with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 </p>
 <p>
  &bull;
  <strong>
   Knowledge transfer from and continuous engagement with researchers
  </strong>
  (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹 What are we looking for?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   A strong research/academic foundation
  </strong>
  with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 </p>
 <p>
  &bull;
  <strong>
   Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
  </strong>
  , including:
 </p>
 <p>
  &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 </p>
 <p>
  &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 </p>
 <p>
  &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 </p>
 <p>
  &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 </p>
 <p>
  &bull;
  <strong>
   Builder/entrepreneur mindset
  </strong>
  : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 </p>
 <p>
  &bull;
  <strong>
   Communication excellence
  </strong>
  : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 </p>
 <p>
  &bull;
  <strong>
   Bias for action and execution
  </strong>
  : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 </p>
 <p>
  &bull;
  <strong>
   Problem-solving aptitude
  </strong>
  : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 </p>
 <p>
  &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹Why join Nabat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A once-in-a-lifetime opportunity to
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Join a well-funded early-stage tech startup
   </strong>
   at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
  </li>
  <li>
   <strong>
    Design, build and shape a product from the ground up
   </strong>
   using your unique skills and expertise .
  </li>
  <li>
   <strong>
    Work with a truly international and world-class R&amp;D team
   </strong>
   both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
   <u>
    https://www.atrc.gov.ae/
   </u>
   ), Technology Innovation Institute (
   <u>
    https://www.tii.ae/
   </u>
   ), and VentureOne (
   <u>
    https://www.ventureone.ae/
   </u>
   ) ecosystem.
  </li>
  <li>
   <strong>
    Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
   </strong>
   - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
  </li>
  <li>
   <strong>
    Make a real and direct impact
   </strong>
   to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹What is the hiring process like?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Initial screening call
   </strong>
   with a member of our Talent team to ensure expectations and experience aligns.
  </li>
  <li>
   <strong>
    First interview with hiring manager
   </strong>
   about the role and ask questions &ndash;
   <u>
    Taha Ghaznavi
   </u>
   , Chief Product Officer, Nabat.
  </li>
  <li>
   <strong>
    Second interview with technical team member(s)
   </strong>
   to assess your capabilities. Might include a coding test and/or small case study.
  </li>
  <li>
   <strong>
    Third interview with a senior leader
   </strong>
   to assess culture fit and give you opportunity to meet your future stakeholders.
  </li>
  <li>
   Hiring decision and conditional offer.
  </li>
  <li>
   Background check and final offer.
  </li>
  <li>
   Relocation to the UAE and onboarding!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 </p>
</div>


Senior Data Scientist (Geospatial AI)

Enerflex

<div><div><div><div><div><b>Business Unit: </b>Eastern Hemisphere
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Travel: </b>Up to 25%
</div></div></div></div><div><div><div><div><b>Req ID: </b>3376
</div></div></div></div><div><div><div><div><p>AI Engineer- Asset Management
</p></div></div></div></div><div><div><div><div><div><div><div><div><b>Summary</b></div>
</div><div><div>
We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.</div></div></div><div><div><div><b>
Principle Responsibilities and Duties</b></div>
</div><div><ul><li>Design, develop, and deploy AI applications to support:</li>
<ul><li>Predictive and preventive maintenance</li>
<li>Asset life extension strategies</li>
<li>Operational cost reduction</li>
<li>Equipment safety and reliability</li>
</ul><li>Leverage LLMs/SLMs for intelligent automation and decision support</li>
<li>Collaborate with cross-functional teams to identify AI opportunities</li>
<li>Work within Azure cloud environments and integrate with Microsoft Copilot tools</li>
<li>Ensure all work complies with company policies, procedures, and confidentiality standards</li>
<li>Provide structured, timely updates and reports on project progress</li>
<li>Explore and evaluate emerging AI technologies and methodologies</li>
<li>Demonstrate flexibility in adapting to evolving project needs and priorities</li>
</ul></div></div><div><div><div><b>Qualifications</b></div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments</li>
<li>Proficiency in programming languages such as Python, R, or similar</li>
<li>Experience working with Azure cloud services and AI tools</li>
<li>Familiarity with Microsoft Copilot and its integration into enterprise workflows</li>
<li>Strong communication skills in English (written and verbal)</li>
<li>Ability to work independently while maintaining alignment with team goals</li>
<li>Willingness to travel internationally as required</li>
<li>Adherence to strict confidentiality and data protection standards</li>
<li>Structured reporting and documentation practices</li>
<li>Collaborative and proactive mindset</li>
<li>Commitment to continuous learning and innovation</li>
<li>
<div><b>Preferred Skills:</b></div>
</li>
<li>Experience with asset management systems or industrial operations in gas compression and gas processing industry</li>
<li>Knowledge of maintenance management frameworks (e.g., RCM, CBM)</li>
<li>Understanding of data governance, security, and compliance in AI applications</li>
<li>Ability to translate business needs into technical solutions</li>
</ul></div></div><div><div><div><b>Physical Requirements</b></div>
</div><div><ul><li>Remote work flexibility with a base in Abu Dhabi</li></ul></div></div></div><br>
<div></div>
<div><b>About Us:</b></div><br>
<div></div><div><b>Transforming Energy for a Sustainable Future.</b> Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.<br>
<br>
Enerflex places its core <b>Values of Integrity, Commitment, Creativity, and Success</b> into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.<br>
<br>
We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.</div><br>
<div></div>
<div><b>Enerflex is an Equal Opportunity Employer</b></div>
<div>Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.</div><br>
<div></div>
<div><b>Disclaimer</b></div>
<div>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.</div></div></div></div></div></div><p></p>

AI Engineer- Asset Management

Discovered MENA

<div>
 <p>
  <strong>
   Senior Software Engineer - Python &amp; AI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <strong>
   Package:
  </strong>
  30,000 - 35,000 AED per month TAX FREE plus benefits
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  Permanent
 </p>
 <p>
  <br/>
 </p>
 <p>
  I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently seeking a highly skilled and enthusiastic Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <ul>
  <li>
   Conduct in-depth research, design, and development of advanced cellular communications solutions
  </li>
  <li>
   Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
  </li>
  <li>
   Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
  </li>
  <li>
   Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
  </li>
  <li>
   Contribute to crucial technological and architectural decisions.
  </li>
  <li>
   Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
  </li>
  <li>
   Experience building high-performance APIs, ideally using modern Python frameworks.
  </li>
  <li>
   Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
  </li>
  <li>
   Practical understanding of prompt design and AI-driven workflow optimization.
  </li>
  <li>
   Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
  </li>
  <li>
   Proficient in data handling and validation using Python data frameworks and schema-based approaches.
  </li>
  <li>
   Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
  </li>
  <li>
   Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
  </li>
  <li>
   Experience writing automated tests and maintaining high code quality with Python testing frameworks.
  </li>
  <li>
   Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
  </li>
  <li>
   Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
  </li>
  <li>
   Strong command of the English language, both spoken and written (upper-intermediate level).
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Software Engineer

Kyndryl

<div><p><b>Who We Are
</b></p><p>At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.<br>
</p><p><br>
<b>The Role
</b></p><p>As an Agentic AI Data Scientist at Kyndryl, you&rsquo;ll help shape the future of advanced Agentic AI while working with a team that&rsquo;s leading the industry.
</p><p>We're solving real-world problems at a massive scale &mdash; powered by creativity, precision, and a shared obsession with what&rsquo;s next.
</p><p>You&rsquo;ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.
</p><p>We're not just talking innovation - we're building it. Fast.
</p><p></p><p><b>Startup inside Kyndryl </b>: Zero bureaucracy. You&rsquo;ll work with autonomy, follow your own leads, and build real systems &ndash; not tickets.
</p><p></p><p><b>Tech-first, action-oriented culture </b>: Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
</p><p></p><p><b>Direct impact at scale </b>: Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
</p><p></p><p><b>Deep academic integration </b>: Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
</p><p></p><p><b>Work that matters </b>: Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
</p><p></p><p><b>True builder&rsquo;s environment </b>: Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally &mdash; ideas over titles.
</p><p></p><p>What You&rsquo;ll Do
</p><ul><li>Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
</li><li>Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
</li><li>Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
</li><li>Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
</li><li>Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
</li></ul><p></p><p>Your Future at Kyndryl
</p><p>We don&rsquo;t hire for a role - we hire for a journey. You&rsquo;ll be empowered to work remotely, flexibly, and at your best. Your success is measured by what you create, not where you work from. Expect an innovation cycle where you&rsquo;ll build a legacy portfolio and help reimagine what AI can do for business.<br>
</p><p><br>
<b>Who You Are
</b></p><p>Who You Are
<br>
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
<br>
<br>
<b>Required Skills and Experience
</b></p><ul><li>3+ years of experience as an Agentic AI Data Scientist or in a comparable role
</li><li>Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills
</li><li>Hands-on experience delivering end-to-end GenAI projects and systems
</li><li>MSc in computer science, mathematics, AI, or a related field
</li><li>Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
</li><li>Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
</li></ul><p></p><p><b>Preferred Skills and Experience
</b></p><ul><li>Ability to operate independently and collaborate within a high-trust, low-hierarchy team
</li><li>Contributions to academic/technical communities and shaping open-source projects
</li><li>PhD or equivalent research experience
</li></ul><p></p><p>Bonus Points For:
</p><ul><li>Certifications in Azure, AWS, or Google ML platforms
</li><li>Demonstrated contributions to graph theory, DevOps, or distributed systems
</li><li>Previous projects involving digital transformation, AI-native product development, or enterprise automation
</li><li>Presence in academic or whitepaper communities (authorship, publication, or presentation)
</li>Arabic language skills<br>
<li>
</li></ul><p><br>
<b>Being You
</b></p><p>Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.<br>
</p><p><br>
<b>What You Can Expect
</b></p><p>With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
</p><p></p><p><b>Get Referred!
</b></p><p>If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</p></div>

Agentic AI Data Scientist

Khalifa University

<div>
 <p>
  <strong>
   UAENationals are preferred to apply
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Khalifa University and the College of Computing and Mathematical Sciences seek a dynamic and dedicated individual for the position of Senior Lab Engineer in the Computer and Information Engineering (CIE) Department with specialization in Robotics and AI
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Overview
  </strong>
  :
 </p>
 <p>
  As a Lab Engineer, you will collaborate with CIE Department faculty to support undergraduate Robotics labs in areas such as:
 </p>
 <ul>
  <li>
   Software control and motion planning for mobile and manipulator robots
  </li>
  <li>
   Autonomous navigation using sensor fusion (LIDAR, IMU, camera)
  </li>
  <li>
   Robot sensing and SLAM
  </li>
  <li>
   Robotic kinematics, dynamics, and control theory
  </li>
  <li>
   Manipulation and grasping techniques
  </li>
  <li>
   Machine learning and AI in robotics
  </li>
  <li>
   Design, simulation, and testing of robotic systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Coordinate with CIE Department faculty involved in the course and organize the lab teaching schedule
  </li>
  <li>
   Instruct assigned lab courses, oversee students&rsquo; lab activities, and assess student work
  </li>
  <li>
   Prepare or update the lab manual in accordance with the course curriculum
  </li>
  <li>
   Manage the inventory of laboratory equipment and consumables, as well as lab software.
  </li>
  <li>
   Ensure that all laboratory activities comply with applicable EHS regulations, policies, and guidelines.
  </li>
  <li>
   Provide laboratory health and safety inductions for users, and conduct routine maintenance and calibration of equipment to maintain accuracy and efficiency in experimental results.
  </li>
  <li>
   Support academic and research initiatives of the department and participate in student-related events.
  </li>
  <li>
   Take part in the ongoing development and modification of undergraduate programs.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelors&rsquo; degree in Computer Engineering or Mechatronics Engineering, with a strong academic record.
  </li>
  <li>
   At least 2 years of relevant experience, including proficiency in:
  </li>
  <li>
   Programming languages: C++, Python
  </li>
  <li>
   ROS2 and simulation tools such as Gazebo, RViz, and visualization pipelines
  </li>
  <li>
   Integration of robotic sensors: IMUs, LIDAR, cameras, encoders
  </li>
  <li>
   Signal processing and real-time control for robotic systems
  </li>
  <li>
   Embedded platforms (e.g., Arduino, STM32, Raspberry Pi, NVIDIA Jetson)
  </li>
  <li>
   Quanser platforms and QUARC real-time control software
  </li>
  <li>
   Experience with robotic modelling and control tools such (MATLAB/Simulink)
  </li>
 </ul>
</div>


Lab Engineer - Robotics and AI

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