Machine Learning Infrastructure Engineer
Cognizant
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This listing doesn't post a salary. Most similar roles pay $192,050–$254,750.
Based on 240 similar postings.
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Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.
Cognizant currently has 330 open roles on FindRole.
Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.
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JOB TITLE: Machine Learning Infrastructure Engineer The Staff Machine Learning Infrastructure Engineer joins the ML Platform Engineering department to architect and lead the technical vision for scalable ML platform initiatives. This role involves designing end-to-end infrastructure for data processing, feature management, and model serving to support diverse ML workloads. You will build scalable data processing systems, feature platforms, and robust serving architectures for real-time and batch inference. Key responsibilities include establishing best practices for ML observability, monitoring, and operational excellence while mentoring platform engineers. Required expertise includes distributed systems, MLOps practices, and large-scale data processing using Spark and Beam. You must also possess expert-level knowledge in feature store architectures, TorchServe, Tensorflow Serving, Triton, container orchestration, and cloud platforms to solve complex infrastructure problems across the entire ML lifecycle.
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