Technical Architect

About the role

We are seeking a Full Stack Data Scientist with strong software-engineering fundamentals and hands-on expertise in machine learning, Generative AI, Retrieval-Augmented Generation (RAG), Graph RAG and Agentic AI. The role owns the complete solution lifecycle, from problem framing and data ingestion through model and agent development, cloud deployment, observability and production support.

What you'll do

• Data Science & Machine Learning
• Define hypothesis-driven approaches for ambiguous business and technical problems
• Perform exploratory data analysis, feature engineering, model selection, validation and error analysis
• Build and evaluate supervised, unsupervised and generative AI solutions using appropriate business and technical measures
• Create reproducible experimentation, testing and model-evaluation practices

What you need

• 8–14 yrs of experience
• Python
• REST APIs
• System design
• SQL
• AWS
• Git
• Any graduate

Good to have

• Node.js
• Angular
• React
• Docker
• Kubernetes
• Machine learning