LLM Data Scientist, AVP
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Architect and implement generative AI and agentic applications
- Build knowledge graphs and semantic search
- Communicate technical findings to stakeholders
- Create reusable AI assets and experimentation frameworks
- Define model evaluation benchmarking and error taxonomy
- Drive MLOps and LLMOps pipelines
- Ensure responsible AI model governance and regulatory compliance
- Implement prompt engineering fine tuning embeddings vector search and RAG
- Lead end to end delivery of AI ML and LLM solutions
- Mentor data scientists and share best practices
- Productionize models and integrate into enterprise workflows
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
- Vibrant employee networks
Skills/Tech-stack
AWS | Anomaly Detection | Azure | CI/CD | Databricks | Embeddings | Experiment tracking | Explainability | Feature Engineering | Fine Tuning | Generative AI | Graph Databases | Keras | Knowledge graphs | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Benchmarking | Model Evaluation | Model Monitoring | Model Validation | Model versioning | Natural Language | Natural Language Processing | Neo4j | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Spark | TensorFlow | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
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