NTT DATA is Hiring MLOps Engineer in New Delhi
Digital Design and Development | New Delhi
Job Overview
NTT DATA is hiring an MLOps Engineer in New Delhi to support the development, deployment, and optimization of cloud-native software and machine learning solutions. This role offers an exciting opportunity to work on modern AI/ML systems, microservices architectures, cloud platforms, and large-scale distributed applications within a global technology organization.
The position is ideal for professionals with experience in software engineering, machine learning operations, cloud infrastructure, DevOps practices, and API-driven architectures. You will collaborate with product teams, engineers, and stakeholders to build scalable AI-powered solutions while contributing to automation, deployment, and operational excellence initiatives.
💡 Why this role?
This opportunity is ideal for engineers looking to bridge the gap between software development and machine learning, driving the deployment and scalability of enterprise AI solutions.
This opportunity is ideal for candidates searching for:
Roles & Responsibilities
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Design and develop software solutions and application functionality, supporting the development of AI and machine learning-based applications.
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Contribute to coding, testing, debugging activities, and execute automated testing processes.
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Participate in software deployment and release activities, developing functionality within microservices-based architectures.
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Build and integrate APIs, support cloud-native application development, and assist in building distributed systems and scalable platforms.
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Maintain technical documentation, participate in code reviews, collaborate with product teams, and support CI/CD implementation and DevOps processes.
Eligibility Criteria
Education
Bachelor’s Degree in Computer Science, Engineering, or a related field.
Experience
2–5 Years of relevant experience developing microservices, RESTful APIs, and working with cloud platforms and AI/ML applications.
Technical & Core Competence
Deep expertise in Python, MLOps, CI/CD Pipelines, and Microservices Architecture. Must have hands-on experience with cloud infrastructure (AWS/Azure/GCP) and containerization tools like Docker and Kubernetes.
How to Apply
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