Tech Consultant - AI & Machine Learning

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 2,800,000 - 3,800,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bangalore, India is seeking a Tech Consultant - AI Machine Learning to design, build, and maintain scalable ML platforms and infrastructure. You will work with data scientists and engineers to productionize models and ensure platform reliability.

The role emphasizes Python proficiency, ML platform engineering, and containerized deployments using Docker and Kubernetes, with Azure familiarity being highly preferred.

Qualifications

• Strong proficiency in Python required.
• 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.

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.

Skills

Python

ML Platform Engineering

Model inferencing

Microservices architecture

Docker

Kubernetes

Distributed systems

Tools

Docker

Kubernetes

Job description

We are currently seeking a Tech Consultant - AI Machine Learning to join our team in Bangalore, Karnataka (IN-KA), India (IN).

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.

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

Requirements

• 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