Description

Build and deploy machine learning models from research to production.

This role is on-site.

Responsibilities

• Design and execute experiments using statistical foundations.
• Develop end-to-end machine learning workflows.
• Move models from notebooks into production-ready services.
• Implement generative AI solutions including prompt engineering, fine-tuning, or RAG pipelines.
• Manage container-based deployments within CI/CD workflows.

Required Skills

• 5+ years of professional experience in data science.
• Strong proficiency in Python and SQL.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with container-based deployment.
• Practical knowledge of CI/CD processes.
• Solid understanding of statistics and experiment design.
• Experience with generative-AI projects and retrieval-augmented pipelines.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute