- Location
- India - Bengaluru
- Department
- Tech & Engineering
- Seniority
- Lead
- Experience
- 4+ years
- Source
- Greenhouse
Description
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.
