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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)
Key Skills
Ranked by relevance
ai
continuous integration
containerization
machine learning
deep learning
tensorflow
pytorch
python
docker
cloud
mlops
aws
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Login to Apply
- Posted
- Feb 10, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Bengaluru
- Company
- HDFC Bank
Industries
Banking
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Software Engineer Backend (Java) + Data Engineering
2026-06-17
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Banking
Information Technology
View Job Details
Related
Full Stack Digital Developer
2026-06-14
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Engineering
View Job Details
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Data Analytics - Support - MGR
2026-06-18
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