Data Scientist

PURPOSE OF THE JOB

To lead development and scaling-up of production-ready AI systems. To combine traditional software engineering (frontend/backend) with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. This role needs hands-on technical expertise to drive innovation while mentoring high-performing teams.

KEY RESPONSIBILITIES:

Technical:

• Design and architect end-to-end Data science, Machine Learning (ML), Deep Learning (DL) and Gen AI, Video Analytics solutions. Exposure to Agentic AI will be preferred.
• Lead the development and deployment of AI solutions, ML models and Gen AI solutions.
• Hands-on involvement in designing models, using AI solutions for code generation using tools such as Google CLI/Claude Desktop, reviewing code and troubleshooting issues in AI, ML, DL, Gen AI solutions.
• Drive adoption...