Lead AI/ML Engineer, Applied AI
India - Bangalore - 5th floor, building no. 3, Prestige technostar
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect build evaluate and optimize machine learning models
- Build LLM applications with retrieval augmented generation
- Build LLM powered services using APIs
- Define evaluation frameworks and performance tuning
- Develop deploy and scale deep learning solutions
- Implement agentic AI workflows with tool calling and memory
- Integrate generative AI into enterprise and scientific platforms
- Lead AI/ML lifecycle from ideation to deployment
- Lead team mentorship and engineering standards
- Participate in communities of practice and adoption strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Azure OpenAI | C# | C++ | Clustering | Convolutional Neural Networks | Data Pipelines | Decision Trees | Deep learning | ETL | Embeddings | Ensembles | LLMOps | Langchain | Langgraph | MLOps | Machine Learning | Model Deployment | Model Evaluation | Neural Networks | NumPy | Pandas | Performance Tuning | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Tool-Calling | Vector Search
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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