Tech Consultant - AI & Machine Learning

NTT DATA North America; Maharashtra; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NTT DATA North America is seeking a skilled Machine Learning Platform Engineer to design, build, and maintain scalable ML platforms and infrastructure in Maharashtra, India.

You will design robust ML platforms for model development, training, and deployment, and build microservices-based architectures. Collaboration with data scientists and engineers to productionize models is essential, along with CI/CD, monitoring, and performance excellence.

Qualifications

• Strong experience with Python and ML platform engineering.
• Hands-on experience with model inference and deployment strategies.
• Experience with microservices-based ML platforms.
• Proficiency with Docker, containers, and Kubernetes.
• Solid understanding of distributed systems and scalable architectures.

Responsibilities

• Design and build scalable ML platforms for model development, training, and deployment.
• Develop microservices-based architectures for ML applications.
• Optimize real-time and batch inference pipelines.
• 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

ML Platform Engineering

Model inferencing & deployment

Microservices architecture

Docker

Kubernetes

Tools

Docker

Kubernetes

Job description

Req ID:

383378

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.

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

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 recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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