Principal Data Scientist
Primary location: Noida, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build and productionize agentic AI systems
- Build governance and responsible AI guardrails
- Create LLM evaluation and safety frameworks
- Deploy scalable AI and ML solutions in production
- Design and implement enterprise AI solutions
- Design experimentation and model evaluation pipelines
- Develop generative AI assistants and copilots
- Develop predictive and optimization machine learning models
- Develop reusable AI libraries APIs and accelerators
- Ensure privacy security and compliance for healthcare data
- Implement prompt management and model versioning
- Implement retrieval augmented generation and graph RAG
- Integrate classical ML with generative AI systems
- Lead AI strategy and architecture
- Lead MLOps LLMOps and AgentOps adoption
- Mentor data scientists engineers and AI practitioners
- Monitor models with observability and drift detection
- Set up experiment tracking and automated evaluation
Perks/Benefits
Skills/Tech-stack
AgentOps | Agentic AI | CI/CD | Claude | Cloud Computing | Deep learning | Distributed Computing | Generative AI | Graph RAG | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Databases
Education
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