Tech Consultant - AI & Machine Learning
On-siteNoida, Uttar Pradesh, India
Job Summary
Design and develop robust ML platforms to support model development, training, and deployment while building and maintaining scalable microservices-based architectures. Develop and optimize model inference pipelines for real-time and batch processing, ensuring platform reliability, scalability, and performance. Work with containerization technologies like Docker and orchestration tools such as Kubernetes to collaborate with data scientists and engineers on productionizing ML models. Implement best practices for CI/CD, monitoring, and logging in ML systems. This role requires strong experience in Python, ML Platform Engineering, and distributed systems, with a preference for Microsoft Azure and MLOps practices. Join NTT DATA, a global leader in AI and digital infrastructure, to accelerate client success through responsible innovation in enterprise-scale solutions.
Required 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
Desired Qualifications
- Experience working with Microsoft Azure (highly preferred)
- Familiarity with Azure ML, AKS, or related cloud services
- Experience with MLOps practices and tools
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