Tech Consultant - AI & Machine Learning

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

Job summary

NTT DATA is seeking a skilled Tech Consultant in Bangalore to design, build, and maintain scalable ML platforms and infrastructure. The role emphasizes platform engineering, microservices architecture, and production deployment of ML models, with a strong Python foundation.

The ideal candidate will advance model inference pipelines, leverage Docker and Kubernetes, and collaborate with data scientists to deliver robust ML solutions with reliable performance and CI/CD practices.

Qualifications

• Proficiency in Python is required.
• Understanding of model inference and deployment strategies.
• Experience with microservices architecture and platform development.
• Familiar with Docker, containers and Kubernetes.
• Knowledge of distributed systems and scalable architectures.

Responsibilities

• Design and build scalable ML platforms for development, training, and deployment.
• Create and maintain microservices-based architectures for ML apps.
• Optimize model inference pipelines for real-time and batch processing.
• Implement CI/CD, monitoring, and logging for ML systems.
• Collaborate with data scientists and engineers to productionize models.
• Ensure platform reliability and performance.

Skills

Python

Model deployment

Microservices

Docker/Kubernetes

Distributed systems

Tools

Azure

Azure ML

AKS

MLOps

Job description

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

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .