Key Responsibilities

- Develop and deploy scalable machine learning systems in production environments
- Build effective data pipelines and infrastructure for AI applications
- Optimize ML models for performance, reliability, and scalability
- Implement MLOps practices for continuous integration and deployment of AI models
- Ensure AI systems meet banking security, compliance, and performance requirements
- Collaborate with data scientists to translate models into production-ready code
- Design and implement monitoring systems for deployed AI applications
- Troubleshoot and resolve issues with AI systems in production
- Contribute to the development of internal ML platforms and tools
- Stay current with latest developments in ML engineering and MLOps

Keyskills required:

- Min 8 Yrs of exp is required
- Experience in Python, AI ML, Deep learning, LLMs, NLP
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Knowledge of containerization and orchestration tools (Docker, Kubernetes)
- Understanding of software architecture and system design principles
- Familiarity with cloud platforms (AWS, Azure, GCP)

📌 Sr Data Scientist (Bengaluru)
🏢 HDFC Bank
📍 Bengaluru