GenAI Lead/Technical Architect

Job Summary

• Knowledge in python programming language (using OOP principles) and data science tools
• Knowledge on experience of implementing AIML solutions using machine learning models, algorithms, and evaluation techniques.
• Knowledge of Generative AI and leveraging / integrating LLMs.
• Preferably Knowledge in building and deploying ML pipelines, utilizing technologies such as Kubernetes, Docker and SQL.
• Work closely with data scientists and product managers to ensure smooth model deployment and integration Mandate Skills- AI Architect / Lead: Total 7+ Yrs. of expereicne with 5 years of relevant hands-on experience. Experience on both traditional ML and Deep Learning Implemented use cases involving complex Gen AI and AI usage - advanced RAG, finetuning, optimization, agentic approaches (simple LLM integrations in chatbot or basic RAG will not be sufficient) Strong experience with at least one of the hyperscalars (GCP, Azure, AWS) Model pipeline creation, deployment and maintenance Understanding of containerization, security, architectural design patterns, etc.