machine learning intern

Klanik

<div>
 <br/>
 <p>
  🚀
  <strong>
   Hiring: Machine Learning Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a talented
  <strong>
   Machine Learning Engineer
  </strong>
  to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Model deployment using Docker, Kubernetes
 </p>
 <p>
  &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 </p>
 <p>
  &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 </p>
 <p>
  &bull; Integration with backend &amp; edge devices
 </p>
 <p>
  &bull; Performance tuning (latency, throughput, FPS)
 </p>
 <p>
  &bull; Monitoring model drift &amp; production performance
 </p>
 <p>
  &bull; Strong Python &amp; system design skills
 </p>
 <p>
  &bull; Experience with inference pipelines for video streams
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 </p>
 <p>
  Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Years of Experience
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  5 to 9 years of experience
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Languages
   </u>
   :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &middot; English
 </p>
 <p>
  . Excellent communication, verbal and written skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About KLANIK:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 </p>
 <p>
  We support our clients with the creation and development of their new products and services around 4 main business lines:
 </p>
 <p>
  <br/>
 </p>
 <p>
  ➜ Information Technology and Systems (IT &amp; IS)
 </p>
 <p>
  ➜ DevOps and Cloud
 </p>
 <p>
  ➜ Big Data and AI
 </p>
 <p>
  ➜ Cybersecurity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering 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!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Being a &ldquo;KLANIK&rdquo;
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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 be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Our culture is our pride
   </u>
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  Our community motto is that people give the best of them when they feel listened to, 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.
 </p>
 <p>
  Being part of the Klanik community means relying on each other&rsquo;s, 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.
 </p>
 <p>
  <br/>
 </p>
</div>


Machine Learning Engineer

ai71

<div>
 <strong>
  About AI71:
  <br/>
  <br/>
 </strong>
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 <br/>
 <br/>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
  </li>
  <li>
   AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
  </li>
  <li>
   Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
  </li>
  <li>
   Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
  </li>
  <li>
   Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
  </li>
  <li>
   Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
  </li>
  <li>
   Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
  </li>
  <li>
   Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
  </li>
  <li>
   Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
  </li>
  <li>
   Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
  </li>
  <li>
   Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
  </li>
  <li>
   Family Book for UAE Nationals
  </li>
  <li>
   Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why AI71:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Mission-Driven Work:
   </strong>
   Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
  </li>
  <li>
   <strong>
    Unparalleled Opportunity:
   </strong>
   This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
  </li>
  <li>
   <strong>
    Career Growth:
   </strong>
   We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
  </li>
  <li>
   <strong>
    World-Class Environment:
   </strong>
   Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
  </li>
 </ul>
</div>


Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Arab Monetary Fund

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Roles and Responsibilities
 </p>
 <p>
  Key Accountabilities
 </p>
 <ul>
  <li>
   Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
  </li>
  <li>
   Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
  </li>
  <li>
   Continuously enhance models for performance, accuracy, and scalability
  </li>
  <li>
   Clean, transform, and manage diverse data sources using automated ETL pipelines
  </li>
  <li>
   Collaborate with IT to optimize data infrastructure for secure and efficient access
  </li>
  <li>
   Ensure data quality and alignment with organizational data architecture standards
  </li>
  <li>
   Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
  </li>
  <li>
   Apply advanced techniques such as deep learning and NLP to enhance research
  </li>
  <li>
   Monitor developments in data science and introduce relevant tools and techniques
  </li>
  <li>
   Develop dashboards and visualizations to communicate insights to policymakers
  </li>
  <li>
   Create data storytelling outputs for publications, policy discussions, and training
  </li>
  <li>
   Ensure consistent and accessible data presentation across platforms and reports
  </li>
  <li>
   Comply with data protection regulations, internal policies, and ethical AI standards
  </li>
  <li>
   Support implementation of data governance frameworks and quality standards
  </li>
  <li>
   Participate in audits and compliance reviews related to data use and access
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Qualifications and Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge and Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum 5 years of experience in:
  </li>
  <li>
   Data science
  </li>
  <li>
   Machine learning
  </li>
  <li>
   Advanced analytics
  </li>
  <li>
   Preferably within economic, financial, or public policy sectors
  </li>
  <li>
   Proven ability to develop predictive models and deliver actionable insights
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in:
  </li>
  <li>
   Data science
  </li>
  <li>
   Computer science
  </li>
  <li>
   Statistics
  </li>
  <li>
   Economics Or a related field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred):
  </strong>
 </p>
 <ul>
  <li>
   Recognized certifications such as:
  </li>
  <li>
   Google Data Analytics
  </li>
  <li>
   IBM Data Science
  </li>
  <li>
   SAS
  </li>
  <li>
   CAP (Certified Analytics Professional)
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

New York University Abu Dhabi

<div>
 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:
 <br/>
 <br/>
 <ul>
  <li>
   multi-modal learning,
  </li>
  <li>
   foundation models, including large language models,
  </li>
  <li>
   agentic AI,
  </li>
  <li>
   multi-agent AI systems,
  </li>
  <li>
   transfer learning,
  </li>
  <li>
   self-supervised learning,
  </li>
  <li>
   and federated learning.
   <br/>
   <br/>
  </li>
 </ul>
 The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Research
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the supervisor in developing and implementing the research agenda;
  </li>
  <li>
   Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare;
  </li>
  <li>
   Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA);
  </li>
  <li>
   Design and implement experiments to compare proposed work with SOTA baselines;
  </li>
  <li>
   Publish research findings in high-impact journals and conferences;
  </li>
  <li>
   Communicate and present research findings at international academic gatherings;
  </li>
  <li>
   Create, maintain, and document high-quality research code for reproducibility;
  </li>
  <li>
   Maintain good practice in managing and accessing sensitive medical datasets;
  </li>
  <li>
   Assist the supervisor in the preparation of grant applications (as appropriate);
  </li>
  <li>
   And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Training &amp; professional development*
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Attend trainings and workshops for career development;
  </li>
  <li>
   Mentor PhD students and undergraduate research assistants (as appropriate);
  </li>
  <li>
   Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee;
  </li>
  <li>
   Gain experience in applying for local research grants (subject to eligibility);
  </li>
  <li>
   And transition to independence to pursue a career of choosing following the appointment.
  </li>
  <li>
   The researcher will create a personalized training and development plan with the supervisor.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree)
  </li>
  <li>
   Doctoral research in the area of machine learning and artificial intelligence
  </li>
  <li>
   Bachelor&rsquo;s/ Master&rsquo;s degree in computer science, mathematics, computer engineering, or relevant technical field
  </li>
  <li>
   First-author peer-reviewed published papers (or under review)
  </li>
  <li>
   Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice
  </li>
  <li>
   Experience in maintaining high-quality code on Github
  </li>
  <li>
   Experience in running and managing experiments using GPUs
  </li>
  <li>
   Ability to visualize experimental results and learning curves
  </li>
  <li>
   Effective inter-personal and team-building skills
  </li>
  <li>
   Self-motivated with an ability to work independently and in a team to get the work done
  </li>
  <li>
   Excellent communication skills (oral and written communication)
  </li>
  <li>
   Willingness to learn and confront new challenges
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Doctoral research conducted in the area of machine learning for healthcare and related topics
  </li>
  <li>
   Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning.
  </li>
  <li>
   Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
  </li>
  <li>
   Ability to use high performance computing cluster
   <br/>
   <br/>
  </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.
 <br/>
 <br/>
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 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&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Students are drawn from among the world&rsquo;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.
 <br/>
 <br/>
 <strong>
  Working for NYUAD
  <br/>
  <br/>
 </strong>
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;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. Visit our website for more information on benefits for you and your dependents.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Join NYU Abu Dhabi, an exceptional place for exceptional people.
  <br/>
  <br/>
 </strong>
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;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&rsquo;s mission.
 <br/>
 <br/>
 @WorkAtNYUAD
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 </p>
 <p>
  We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Abu Dhabi
 </p>
 <p>
  Experience: 8+ Years
 </p>
 <p>
  Preferred: Western &amp; Diverse candidates
 </p>
 <p>
  <br/>
 </p>
 <p>
  Technical Requirements
 </p>
 <p>
  ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 </p>
 <p>
  Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 </p>
 <p>
  techniques.
 </p>
 <p>
  ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 </p>
 <p>
  prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 </p>
 <p>
  ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 </p>
 <p>
  familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 </p>
 <p>
  data extraction from specialized formats is a significant plus.
 </p>
 <p>
  ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 </p>
 <p>
  (Flask/FastAPI) and integrate them into larger software architectures.
 </p>
 <p>
  ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 </p>
 <p>
  identifying and mitigating biases in datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Professional Qualifications
 </p>
 <p>
  ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 </p>
 <p>
  track record of deploying models into production environments.
 </p>
 <p>
  ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 </p>
 <p>
  construction regulations, defense standards, supply chain taxonomies) and translate them
 </p>
 <p>
  into logic.
 </p>
 <p>
  ● Structured Delivery: Experience working in structured delivery models
 </p>
 <p>
  (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 </p>
 <p>
  ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 </p>
 <p>
  Backend Engineers, and Product Managers to align model outputs with real-world
 </p>
 <p>
  business logic.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please share your CV with the title of
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 </p>
</div>


Senior Data Scientist

ENEC Operations

<div>
 Job Title: Data Science Expert
 <br/>
 <br/>
 Posting Date: 7 Jul 2026
 <br/>
 <br/>
 Requisition ID: 3584
 <br/>
 <br/>
 Location: HQ - Abu Dhabi
 <br/>
 <br/>
 Posting Status: Active Recruitment
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.
 <br/>
 <br/>
 Key Activities, Responsibility &amp; Accountability
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Technical Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
 <br/>
 <br/>
 <ul>
  <li>
   Team Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Stakeholder Engagement:
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Governance &amp; Compliance:
   <br/>
   <br/>
  </li>
 </ul>
 Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
 <br/>
 <br/>
 <ul>
  <li>
   Operational Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
 <br/>
 <br/>
 <ul>
  <li>
   Expert Knowledge Application:
   <br/>
   <br/>
  </li>
 </ul>
 Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
 <br/>
 <br/>
 <ul>
  <li>
   Complex Problem Solving:
   <br/>
   <br/>
  </li>
 </ul>
 Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
 <br/>
 <br/>
 <ul>
  <li>
   Professional Know-How:
   <br/>
   <br/>
  </li>
 </ul>
 Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.
 <br/>
 <br/>
 <strong>
  Responsibilities &amp; Accountabilities (contd.)
  <br/>
  <br/>
 </strong>
 Responsibilities and Accountabilities:
 <br/>
 <br/>
 <ul>
  <li>
   Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
  </li>
  <li>
   Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
  </li>
  <li>
   Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
  </li>
  <li>
   Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities And Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
  </li>
  <li>
   Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
  </li>
  <li>
   Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
  </li>
  <li>
   Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
  </li>
  <li>
   Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
  </li>
  <li>
   Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
  </li>
  <li>
   Ensure robust documentation, explainability, and auditability of all models and analytics solutions
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 Relevant certifications in AI/ML, MLOps, and Data Governance.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments
 <br/>
 <br/>
 Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 8 years of relevent experience
</div>


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