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Machine Learning Infrastructure Engineer
Summary by AIEngineer.careers
Machine Learning Infrastructure Engineer is a ML Infrastructure Engineer role (full-time). with Cognizant Technology Solutions Corp. in SAN FRANCISCO, US. Imported listing (source: ihiretechnology.com). Apply on the employer's site (ihiretechnology.com).
Imported listing (source: ihiretechnology.com) · Apply on ihiretechnology.com
SAN FRANCISCO · US
—
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ihiretechnology.com
This staff-level role involves architecting and leading the technical evolution of machine learning model development, deployment, and operations. The ideal candidate will leverage extensive experience in software engineering and ML infrastructure to drive innovation in distributed systems.
Responsibilities
- Architect and lead technical evolution for ML model lifecycle
- Drive MLOps practices and distributed system design
- Oversee ML model deployment and operational stability
Requirements
- 10+ years of software engineering experience
- 5+ years of experience in ML infrastructure
- Deep expertise in distributed systems and MLOps
Tech Stack
MLOpsDistributed Systems
Cognizant Technology Solutions Corp
Teaneck Township · US · 372515+ employees
Cognizant Technology Solutions Corp is an IT services and consulting firm that specializes in AI-driven solutions and technology integration. They help global enterprises leverage AI to improve operational value and navigate fast-changing digital landscapes.
