Key Responsibilities Develop and deploy scalable machine learning systems in production environments Build productive 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 (Karnataka)
🏢 HDFC Bank
📍 Karnataka
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