Data Scientist & MLOps Engineer - GenAI Deployment Pro

VAM Systems; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A prominent IT solutions provider in Dubai is seeking a Data Scientist – MLOps to drive data science solutions and model deployment. The role requires strong Python skills, experience in deploying ML models, and a solid understanding of MLOps workflows. Candidates should possess a Bachelor's degree in a relevant field and have 3-4 years of hands-on experience. This position allows you to work closely with a leading organization in the UAE while contributing to cutting-edge AI applications.

Qualifications

• 3-4 years of hands-on experience as a Data Scientist or ML Engineer with strong focus on model deployment.
• Proven experience deploying ML, DL, and GenAI models in production environments.
• Practical experience working with MLOps workflows, including model training, versioning, deployment, monitoring, and automation.

Responsibilities

• Develop design and develop data science solutions using traditional ML and modern modeling techniques.
• Implement lead deployment of ML/AI models into production using CI/CD, automation, and containerized workflows.
• Deploy LLM-powered applications, including prompt-based models, fine-tuned models, and RAG systems.

Skills

Strong Python programming skills (Pandas, NumPy, Scikit-learn)

Proficiency in ML frameworks: TensorFlow, PyTorch, MLflow, Hugging Face

Deep understanding of MLOps tooling: MLflow, Airflow, Kubeflow, Docker, Kubernetes

Experience with CI/CD (GitHub Actions, Azure DevOps)

Ability to build APIs (FastAPI, Flask) and containerized deployments

Experience with LLMs, RAG pipelines, vector databases (FAISS, Pinecone), and prompt engineering

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field

Master’s degree or certifications in ML/AI/MLOps

Job description

A prominent IT solutions provider in Dubai is seeking a Data Scientist – MLOps to drive data science solutions and model deployment. The role requires strong Python skills, experience in deploying ML models, and a solid understanding of MLOps workflows. Candidates should possess a Bachelor's degree in a relevant field and have 3-4 years of hands-on experience. This position allows you to work closely with a leading organization in the UAE while contributing to cutting-edge AI applications.