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Noida · Hybrid · 1-3 Yrs · Aug 20
1 views
6 open roles0 posted in 7d6 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
Responsibilities
- Design and develop robust ML platforms to support model development, training, and deployment
- Build and maintain scalable microservices-based architectures for ML applications
- Develop and optimize model inference pipelines for real-time and batch processing
- Work with containerization technologies like Docker and orchestration tools such as Kubernetes
- Collaborate with data scientists and engineers to productionize ML models
- Ensure platform reliability, scalability, and performance
- Implement best practices for CI/CD, monitoring, and logging in ML systems
Qualifications
- Strong experience in Python (must-have)
- Hands-on experience in ML Platform Engineering / ML Engineering
- Solid understanding of model inferencing and deployment strategies
- Proficiency in Docker, containers, and Kubernetes
- Good understanding of distributed systems and scalable architectures
- Familiarity with Azure ML, AKS, or related cloud services
- About NTT DATA
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