Data Scientist, AVP
INR 4000K-5199K (estimate) Executive-level Full Time
Tasks
- Apply explainability techniques
- Architect generative AI and agentic applications
- Build MLOps and LLMOps pipelines
- Build and maintain knowledge graphs
- Build reusable AI assets
- Build vector search
- Create error taxonomy
- Create experimentation frameworks
- Define model evaluation and benchmarking
- Deploy AI/ML models
- Detect anomalies
- Develop ML models
- Engineer features
- Ensure responsible AI and model governance
- Evaluate ML models
- Fine-tune models
- Frame problems for AI ML solutions
- Generate embeddings
- Implement graph based reasoning engines
- Implement retrieval-augmented generation
- Implement semantic search
- Integrate models into enterprise platforms
- Lead end-to-end AI/ML delivery
- Mentor data scientists
- Monitor AI/ML models
- Optimize for scalability and reliability
- Perform data exploration
- Perform prompt engineering
- Productionize models
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Anomaly Detection | Apache Spark | Azure | Benchmarking | CI/CD | DGL | Databricks | Embeddings | Experiment tracking | Explainability | Feature Engineering | Generative AI | Graph Databases | Graph-based | Graph-based Reasoning | Keras | Knowledge graphs | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Model Governance | Model Validation | Model versioning | Monitoring | Natural Language | Natural Language Processing | Neo4j | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Databases | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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