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Data Scientist

Job in Abu Dhabi, UAE/Dubai
Listing for: Client of AIQU
Full Time position
Listed on 2026-08-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 300000 - 420000 AED Yearly AED 300000.00 420000.00 YEAR
Job Description & How to Apply Below

We are seeking a seasoned Data Scientist to join our Abu Dhabi team

Responsibilities
  • Design develop and deploy end-to-end machine learning and deep learning models using Python and Py Torch
  • Build and fine-tune large language models LLMs for NLP tasks such as text classification information extraction and conversational AI
  • Conduct statistical analysis data exploration and feature engineering to support model development
  • Collaborate with data engineers to design scalable data pipelines and ensure data quality
  • Translate business requirements into technical specifications and present findings to senior leadership
  • Optimize and monitor model performance in production implementing retraining and continuous improvement processes
  • Mentor and guide junior data scientists fostering best practices in coding modeling and experimentation
Qualifications
  • 7+ years of hands-on experience as a Data Scientist or similar role
  • Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related field
  • Expertise in Python programming with strong coding and debugging skills
  • Proven experience with PyTorch for building and training deep learning models
  • In-depth knowledge of machine learning algorithms, deep learning architectures, and statistical modeling
  • Hands-on experience developing and fine-tuning large language models (LLMs)
  • Strong background in natural language processing (NLP) techniques and toolkits
  • Excellent analytical, problem-solving, and communication skills
  • PhD in a quantitative discipline such as Computer Science, AI, or Data Science
  • Experience deploying machine learning models on cloud platforms (e.g., AWS, Azure, GCP)
  • Familiarity with MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
  • Domain experience in oil & gas, finance, or government sectors
  • Proven leadership experience managing small technical teams or data science projects
  • Publications or contributions to open-source machine learning libraries
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