Tech Consultant - AI & Machine Learning

NTT DATA BUSINESS SOLUTIONS; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS is seeking a skilled Machine Learning Platform Engineer to design, build, and maintain scalable ML platforms and infrastructure. You will work on microservices, containerized deployment, and real-time inference pipelines to productionize models.

In this role, you will collaborate with data scientists and engineers, implement CI/CD, monitoring, and logging best practices, and ensure platform reliability, performance, and scalability across AI projects.

Qualifications

• Proficient in Python for ML platform development.
• Experience in platform engineering for ML production.
• Understanding of model inferencing and deployment strategies.

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 best practices for CI/CD, monitoring, and logging in ML systems.

Skills

Python

ML Platform Engineering

Microservices architecture

Model inferencing

Distributed systems

CI/CD

Monitoring & logging

Tools

Docker

Kubernetes

Azure ML

AKS

Azure

Job description

Job Title: Tech Consultant AI Machine Learning

Location: Noida, Pune, Bangalore, Hyderabad, Chennai

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)
• Hands-on experience in ML Platform Engineering / ML Engineering
• 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