Data Scientist, AVP
Bangalore, India
INR 4000K-5199K (estimate) Executive-level Full Time
Tasks
- Apply prompt engineering
- Architect generative AI and agentic applications
- Build and maintain knowledge graphs
- Build retrieval-augmented generation (RAG) systems
- Create and use embeddings
- Define model evaluation benchmarking error taxonomy
- Deploy and monitor AI/ML solutions
- Develop reusable AI assets and experimentation frameworks
- Develop/train/evaluate models
- Enable semantic search capabilities
- Engineer features
- Ensure responsible AI and model governance compliance
- Explore data
- Frame business problems for AI ML
- Implement MLOps and LLMOps pipelines
- Implement graph based reasoning engines
- Implement vector search
- Improve explainability and anomaly detection
- Integrate models into enterprise workflows
- Lead end-to-end AI/ML delivery
- Mentor data scientists
- Optimize scalability and reliability
- Perform model fine-tuning
- Productionize models with engineering and platform teams
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Benchmarking | CI/CD | Databricks | Embeddings | Experiment tracking | Experimentation | Explainability | Feature Engineering | Generative AI | Graph Databases | Graph Neural Networks | Keras | Knowledge graphs | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Validation | Model versioning | NLP | Neo4j | Neural Networks | Prompt engineering | PySpark | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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