Staff Machine Learning Infrastructure Engineer

Cognizant is seeking a Staff Machine Learning Infrastructure Engineer to join its ML Platform Engineering team. The role focuses on architecting, building, and operating scalable machine learning infrastructure, including data processing, model training, feature management, and model serving. The engineer will also lead technical strategy, design inference solutions, mentor engineers, and collaborate with data science and engineering teams.

Responsibilities:

• Architect and evolve end-to-end machine learning platforms supporting data processing, feature management, training, and model serving
• Design and implement scalable infrastructure that enables efficient development, deployment, and operation of ML workloads
• Drive technical strategy, standards, and best practices for machine learning infrastructure, automation, and platform reliability
• Lead the design of real-time and batch inference solutions that support high-volume production workloads
• Mentor engineers, lead technical reviews, and partner with data science teams to accelerate ML adoption and innovation across the organization