Tech Consultant - AI & Machine Learning

NTT DATA, Inc.; Dadri; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

NTT DATA Noida is seeking a Tech Consultant - AI & Machine Learning to design, build, and maintain scalable ML platforms and infrastructure in Noida, Uttar Pradesh, India. You will contribute to production-grade ML pipelines and collaborate with data scientists to operationalize models at scale.

The role emphasizes platform engineering, microservices, containerization with Docker and Kubernetes, and robust CI/CD practices to ensure reliable ML systems in production environments across multiple

Qualifications

• Strong Python programming required.
• Solid understanding of model inferencing and deployment strategies.
• Experience with microservices architecture and platform development.
• Proficiency with Docker and Kubernetes.
• Good understanding of distributed systems and scalable architectures.

Responsibilities

• Design and build 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 CI/CD, monitoring, and logging best practices in ML systems.

Skills

Python

Model inferencing & deployment

Microservices architecture

Platform development

Distributed systems

Tools

Docker

Kubernetes

Job description

We are currently seeking a Tech Consultant - AI & Machine Learning to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

Job Title: Tech Consultant - AI & Machine Learning

Job Overview

We are looking for a skilled Machine Learning Platform Engineer to design, build, and maintain scalable ML platforms and infrastructure. The ideal candidate will have strong experience in platform engineering, microservices architecture, and deploying ML models into production environments.

Key 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

Required Skills & Qualifications

• Strong experience in Python (must-have)
• Solid understanding of model inferencing and deployment strategies
• Experience with microservices architecture and platform development
• Proficiency in Docker, containers, and Kubernetes
• Good understanding of distributed systems and scalable architectures

Preferred Qualifications

• Experience working with Microsoft Azure (highly preferred)
• Familiarity with Azure ML, AKS, or related cloud services
• Experience with MLOps practices and tools

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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