Lead AI/ML Engineer
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Add guardrails for hallucination mitigation
- Architect RAG knowledge systems
- Build Agentic AI workflows
- Define GenAI technical direction
- Define LLMOps practices
- Design enterprise AI platforms and gateways
- Design retrieval frameworks
- Design scalable GenAI solutions
- Develop single agent and multi agent systems
- Drive AI adoption and reusable capabilities
- Establish AI standards and reference architectures
- Evaluate foundation models for enterprise adoption
- Implement responsible AI governance
- Lead AI architecture decisions
- Mentor AI engineers and practitioners
- Optimize AI cost and performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Governance | AI Safety | AI Search | AWS | Agent systems | Agentic AI | Amazon Bedrock | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Cloud platform | Embeddings | Evaluation Frameworks | Foundation Models | Generative AI | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Hallucination mitigation | Human-in-the-loop | Hybrid retrieval | Knowledge graphs | LLMOps | Language Models | Large Language Models | Machine Learning | Model Orchestration | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Prompt security | Python | RAG | Reranking | Responsible AI | Retrieval-Augmented Generation | Security Compliance | Semantic Search | The Loop | Tokenization | Transformers | Vector Search | Vertex AI
Education
Roles
AI/ML Engineer | Engineer | GenAI Lead | GenAI Lead Engineer | Lead | Lead AI | Lead AI/ML Engineer | Lead Engineer | ML Engineer
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