Principal Machine Learning Engineer
INR 2876K-3500K (estimate) Senior-level Full Time
Tasks
- Advise on AI strategy and transformation KPIs
- Architect production scale LLM systems
- Build scalable Python backend APIs
- Define SRE practices for ML systems
- Design and operationalize AI agents
- Drive cloud GPU inference infrastructure
- Embed ML workloads into CI CD pipelines
- Implement ML pipelines and monitoring
- Integrate AI services with enterprise systems
- Mentor engineering teams and raise engineering standards
- Set up prompt versioning and model governance
Perks/Benefits
- Continuing education support
- Continuous learning
- Family-friendly perks
- Flexible time off
- Health and wellness coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | Asynchronous programming | Auto Scaling | CI/CD | Chroma | Cloud platform | Docker | DynamoDB | Event Streaming | FastAPI | GRPC | Generative AI | GitOps | Google Cloud | Google Cloud Platform | Helm | Hugging Face | Hugging Face Transformers | JWT | Kubeflow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Message Queues | Microservices | Microsoft Azure | Monitoring | Multi-Agent | Multi-agent orchestration | OAuth2 | Observability | Ollama | OpenSearch | PEFT | Pinecone | PostgreSQL | Python | RAG | REST | Redis | SageMaker | Testing | VLLM | Vector Databases | Vertex AI
Education
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