Data Scientist
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-08-16
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
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
- 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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