- Develop and deploy AI/ML solutions using expert-level Python coding and modern AI stacks
- Design, implement, and optimize ML/DL models and pipelines for large-scale datasets
- Work on Generative AI, LLMs, and Agentic AI frameworks (LangGraph, CrewAI, AutoGen)
- Manage and maintain vector databases (Pinecone, Milvus) and implement RAG architectures
- Collaborate with data engineering and data science teams for end-to-end solution delivery
- Mentor and guide team members in AI/ML best practices and advanced methodologies
- Ensure solutions are scalable, reliable, and aligned with business objectives
Key Performance Indicators
- Successful deployment of AI/ML models and frameworks
- Accuracy, scalability, and performance of ML/DL models
- Adoption and integration of Generative AI and LLM solutions
- Team productivity, mentorship effectiveness, and technical innovation
