About the Role
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, D...
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