Sr Data Scientist

Key Responsibilities

• Develop and deploy scalable machine learning systems in production environments
• Build efficient 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)