Machine Learning Infrastructure Engineer
Cognizant
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Market check
How this pay compares to similar roles
This role pays less than 98% of similar roles. Most pay $192,050–$254,750 — the blue band above. At the midpoint, this role pays about $122k versus about $223k for comparable roles.
Based on 240 similar postings.
Employer
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.
Most-posted roles
At a glance
The Staff Machine Learning Infrastructure Engineer will architect and lead the technical vision for ML platform initiatives, focusing on building scalable infrastructure to power ML capabilities. You will design and drive the evolution of data systems, feature management, and model serving infrastructure to support diverse ML workloads. Key responsibilities include building scalable data processing systems, establishing best practices for ML observability, and leading cross-functional technical initiatives. You will utilize expertise in Spark, Beam, TorchServe, Tensorflow Serving, and Triton. The role requires deep knowledge of distributed systems, MLOps practices, container orchestration, and cloud platforms. You will solve complex problems related to inference optimization, dataset versioning, lineage tracking, and resource management to support critical business applications across the entire ML lifecycle.
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