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)

Work arrangement
No