Data Science I-HO & SUPPORT-CVM CoE - Corporate Centre of Excellence
Bangalore, Karnataka, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply model risk assessment and mitigation
- Build and fine-tune large language models
- Build reproducible ML pipelines
- Collaborate on structured unstructured and geospatial data projects
- Conduct exploratory data analysis
- Create synthetic data pipelines
- Deploy and monitor ML models with MLOps
- Design AI agents and workflows
- Develop machine learning models
- Document experiments and track model performance
- Enforce security guardrails and DLP controls
- Ensure responsible AI compliance
- Implement LLM evaluation and benchmarking
- Integrate privacy preservation and explainable AI
- Perform data cleaning and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Governance | AIOps | Adversarial Machine Learning | Airflow | CI/CD | Classification | Clustering | Content Safety | Content Safety Filters | Data Analysis | Data Loss Prevention | Data Privacy | Data loss | Deep learning | Differential Privacy | Docker | Explainable AI | Exploratory Data Analysis | Feature Engineering | Fine Tuning | Geospatial Analytics | Git | Integrated gradients | K-anonymity | Knowledge Distillation | LIME | LLM-as-a-Judge | Langchain | Language Models | Large Language Models | Llamaindex | Loss prevention | MLOps | MLflow | Machine Learning | Model Benchmarking | Model Deployment | Model Evaluation | Model Monitoring | Model Optimization | NumPy | Pandas | Prompt engineering | Pruning | PyTorch | Python | Quantization | RAG | Regression | Responsible AI | SHAP | SQL | Safety filters | Scikit-learn | Synthetic data | TensorFlow
Education
Roles
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