Lead AI/ML Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect RAG knowledge systems
- Build retrieval pipelines including embeddings vector search and reranking
- Define LLMOps practices for monitoring evaluation and lifecycle management
- Define enterprise generative AI strategy
- Define responsible AI governance and safety guardrails
- Design enterprise agentic AI architectures
- Design scalable GenAI solutions aligned with security compliance and operations
- Drive adoption of reusable AI platforms accelerators and frameworks
- Establish AI standards reference architectures and governance
- Establish secure integration patterns across APIs and data platforms
- Evaluate foundation models and select deployment strategies
- Implement multi agent workflows with tool integration
- Lead architecture decisions for GenAI and agentic AI programs
- Mentor AI specialists and lead small delivery teams
- Optimize AI costs with routing caching and prompt engineering
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Security | AWS | Agentic AI | Amazon Bedrock | Anthropic | Autogen | Azure | Azure AI | Azure AI Foundry | Azure OpenAI | Cloud platform | Content Safety | CrewAI | Data Protection | Deployment Automation | Embeddings | Evaluation | Foundation Models | Generative AI | Google Cloud | Google Cloud Platform | Hallucination mitigation | Hybrid retrieval | Knowledge graphs | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Governance | Model Orchestration | Monitoring | OpenAI | Prompt engineering | Prompt security | Python | RAG | Reranking | Responsible AI | Semantic Kernel | Semantic Search | Tokenization | Transformers | Vector Databases | Vector Search | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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