CVJet
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Data Scientist

Client of AIQU

On-siteUnited Arab EmiratesseniorPosted 19h ago

Job description

We are seeking a highly skilled Data Scientist to join our team in Dubai. The role focuses on leveraging machine learning, large language models (LLMs), retrieval-augmented generation (RAG), and Python to drive data-driven solutions. The ideal candidate will have 5-8 years of experience in developing and deploying advanced analytics and AI applications. You will collaborate with cross-functional teams to translate business requirements into scalable models and insights.

Responsibilities:

  • Design and develop machine learning models and LLM-based solutions for business use cases

  • Implement retrieval-augmented generation (RAG) pipelines integrating external knowledge sources with LLMs

  • Write clean, efficient Python code for data processing, modeling, and deployment

  • Perform exploratory data analysis, feature engineering, and statistical analysis

  • Collaborate with product, engineering, and business stakeholders to define requirements and deliverables

  • Deploy and monitor models in production environments, optimizing performance and ensuring reliability

  • Document methodologies, results, and best practices

  • Mentor and review the work of junior data scientists

Desired Candidate Profile

  • 5-8 years of professional experience as a Data Scientist or similar role

  • Strong proficiency in Python and libraries such as pandas, NumPy, and scikit-learn

  • Hands-on experience with machine learning frameworks like TensorFlow or PyTorch

  • Proven track record of developing and fine-tuning large language models (LLMs)

  • Experience implementing retrieval-augmented generation (RAG) workflows and APIs

  • Solid understanding of statistics, data analysis, and feature engineering

  • Expertise in data collection, cleaning, and preprocessing for large datasets

  • Ability to translate business problems into analytical solutions

Preferred Qualifications:

  • Advanced degree (MSc or PhD) in Computer Science, Data Science, Engineering, or related field

  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling (Docker, Kubernetes, CI/CD)

  • Familiarity with big data technologies such as Spark or Hadoop

  • Proficiency in SQL and experience with data warehousing solutions

  • Excellent communication skills with the ability to present complex findings to non-technical audiences

  • Leadership or team management experience in data science projects