Data Scientist (Gen/Agentic AI solutions)
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Add guardrails content filtering and PII masking
- Build RAG infrastructure for enterprise architectures
- Build generative AI and LLM systems
- Consult product teams using platform tools to solve business problems
- Create LLM evaluation frameworks for hallucination faithfulness and relevancy
- Create automated ML evaluation pipelines
- Design and implement feature stores and model registries
- Develop agentic orchestration workflows
- Develop vector database retrieval and semantic search systems
- Implement MLOps standards and ML lifecycle CI CD
- Implement caching token usage monitoring and cost latency optimization
- Manage full AI ML lifecycle including data engineering feature stores model training evaluation deployment and monitoring
- Optimize model inference and training workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Anthropic API | CI/CD | Caching | Databricks | Docker | G-Eval | GPTCache | GRPC | Generative AI | Git | Google API | HuggingFace Transformers | Knowledge graph | Kubeflow | Kubernetes | LLM-as-a-Judge | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llama | ML evaluation | MLflow | Machine Learning | Mistral | Mistral API | NumPy | Ollama | OpenAI API | PII masking | Pandas | Prompt Compression | PyTorch | Python | RAG | REST | SQL | Scikit-learn | Semantic Search | Text Generation | Text generation inference | Token Monitoring | VLLM | Vector Databases | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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