Lead AI/ML Engineer
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect multi-agent workflows
- Build high throughput data ingestion and transformation pipelines
- Create evaluation pipelines for stochastic system reliability
- Define standardized agent tool interfaces
- Deploy workloads with containerization and cluster orchestration
- Design near real time retrieval for operational context
- Engineer state memory and long running execution
- Implement LLMOps tracing and debugging
- Implement agent communication patterns
- Implement human in the loop safety control frameworks
- Integrate and optimize LLM model routing and fallback
- Monitor cost and performance telemetry for production
- Prototype and mature retrieval and reasoning approaches into production
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Financial wellness programs
- Generous time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
APIs | Async Programming | CI/CD | Cloud infrastructure | Containerization | Cost monitoring | Data Pipelines | Embeddings | Graph Databases | Graph Machine Learning | Human-in-the-loop | Knowledge graphs | Kubernetes | LLMOps | Language Models | Large Language Models | Machine Learning | Model Evaluation | NoSQL | Observability | Prompt engineering | Python | Relational databases | Reliability Engineering | Retrieval-Augmented Generation | The Loop | Tracing | Vector Databases | Vector Retrieval
Education
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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