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Machine Learning Developer

Ciudad de México, México💼 Full-time🗓 2026-06-04 → 2026-07-29

Core

End-to-end operations for production ML models, including monitoring, retraining, and incident response for agentic/LLM systems.

Role type

Senior Machine Learning Operations Engineer

Builds

Production ML models and operational workflows for client projects

Domain

IT Services / Cloud Infrastructure (Google Cloud)

Deliverable

production ML models

Required skills

Model auditing, performance tuning, data pipeline management, cloud environment management, incident response, drift detection, SLA reporting, model onboarding, automation scripting

Preferred skills

Experience with Vertex AI, structured intake processes, technical debt reduction

Technologies

Google Cloud, Vertex AI, pipelines, monitoring tools

Responsibilities

Perform deep dive audits of ML models and create Model Runbooks; Own end to end model operations including backlog execution and performance tuning; Manage retraining cycles, data pipelines, cloud environments, and deployment workflows; Monitor model health, detect drift, and respond to incidents; Deliver monthly SLA dashboards and performance reports; Onboard new ML models using a structured intake and evaluation process; Support agentic/LLM systems with incident response, bug triage, and rollbacks; Automate operational tasks and reduce technical debt

Seniority

Senior, hands-on IC

Rewrite
## About the Role At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant! ## Qualifications - BS/BA degree or equivalent experience - 5+ years of experience as Machine Learning Engineer - Experience with Google Cloud (Vertex AI, pipelines, monitoring) - ADVANCED ENGLISH IS A MUST - 100% on site role in CDMX ## Responsibilities - Perform deep dive audits of ML models and create Model Runbooks. - Own end to end model operations, including backlog execution and performance tuning. - Manage retraining cycles, data pipelines, cloud environments, and deployment workflows. - Monitor model health, detect drift, and respond to incidents. - Deliver monthly SLA dashboards and performance reports. - Onboard new ML models using a structured intake and evaluation process. - Support agentic/LLM systems with incident response, bug triage, and rollbacks. - Automate operational tasks and reduce technical debt. ## What we offer Why Cognizant? - Improve your career in one of the largest and fastest growing IT services providers worldwide - Receive ongoing support and funding with training and development plans - Have a highly competitive benefits and salary package - Get the opportunity to work for leading global companies We are committed to respecting human rights and build a better future by helping your minds and the environment. We invest in people and their wellbeing. We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered. At Cognizant we believe than our culture make us stronger! ## Equal Opportunity Join us now! Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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