Lead AI or ML Engineer
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines and vector indexing
- Build data and feature pipelines
- Develop prompt design and fine tuning pipelines for LLMs
- Ensure HIPAA compliance and data privacy
- Evaluate LLM outputs with guardrails
- Govern Responsible AI and model governance
- Implement MLOps and LLMOps best practices
- Lead architecture and delivery of ML and GenAI solutions
- Mentor engineers and set engineering standards
- Monitor models for drift and performance
- Run A B testing and cost performance optimization
- Set up CI CD model registry and experiment tracking
- Translate business problems into technical roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Azure | Azure Machine Learning | B testing | BigQuery | CI/CD | CPT | Cloud platform | Dask | Databricks | Deep learning | Deidentification | Docker | Drift Detection | Embeddings | Experiment tracking | FHIR | Faiss | Fine Tuning | Git | Google Cloud | Google Cloud Platform | HIPAA | HITRUST | HL7 | Hugging Face | ICD | Kafka | Knowledge graphs | Kubernetes | Langchain | Language Processing | Llamaindex | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Natural Language | Natural Language Processing | Neo4j | NumPy | Observability | PGVector | Pandas | Pinecone | Prefect | PyTorch | Pytest | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SNOMED CT | SOC 2 | SQL | SageMaker | Snowflake | Spark | Statistics | TensorFlow | Terraform | Transformers | UMLS | Vector Database | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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