Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Minimum Experience and Key Competencies:

4+ years of professional experience in end-end AI/ML engineering development, AI/ML architecture design, or a related role

Proven track record delivering 3+ ML/AI solutions to production preferably in enterprise or financial services environments

Experience in deploying Gen AI solutions/LLMs through integration with software applications – Open AI GPT models, Google Gemini, Mistral, etc. and orchestration frameworks like LangChain, LangGraph

Strong Python proficiency; clean code practices; expertise in designing modular, testable, maintainable ML systems; experience with design patterns and architectural principles. Hands-on experience in building new APIs in enterprise setting using modern, high-performance frameworks like FastAPI

Hands-on expertise in building & deploying solutions on the public cloud platforms AWS/GCP/Azure etc.; multi-cloud capability a plus.

Proven experience in deploying AI solutions at scale, in production, with experience working with big data

Ability to translate business problems into AI-ML opportunities; understand ROI, business metrics, and stakeholder requirements; drive adoption and commercialization.