MLOps - Remote

Guadalajara, JAL, MX

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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ML Engineer - Model Ops (México, Remote)
 

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

 

YOUR ROLE

We are looking for someone to help us keep our machine learning models running smoothly in production. Your job will be to monitor for issues like model drift and data drift, ensure models stay accurate, and integrate tools like WhyLabs, Splunk, and Datadog

  • Monitor machine learning models for issues like data/model drift
  • Set up tools like WhyLabs, Splunk, and Datadog to track model performance
  • Work on the full lifecycle of models, including deployment, monitoring, and retraining
  • Help improve how we manage and monitor data pipelines
  • Collaborate with the team to make sure models stay accurate and useful

 

YOUR PROFILE

  • Good conversational English (B2, C1, C2)
  • Experience monitoring machine learning models in production
  • Knowledge of tools like WhyLabs, Splunk, and Datadog
  • Familiarity with AKS and Databricks
  • Understanding of how data moves through systems and how to keep it reliable
  • Comfortable with Python or SQL for debugging and building workflows
  • Understanding of MLOps best practices.
  • Experience with cloud tools like Azure Cosmos DB
  • Familiarity with integrating models into BI tools for reporting.
     

 

WHAT YOU WILL LOVE ABOUT WORKING HERE

  • At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
  • If you join us, you’ll find we’ll support your career at every stage. We’ll connect you with diverse, worldwide networks, and help you take your skills to the next level.
  • At Capgemini Engineering, Team Spirit is very strong, and People feel supported. I’m not just part of a team – I’m part of a community. A friendly, can-do group of people for whom collective effort comes naturally.
     

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

Get the future you want!

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Cosmos DB Databricks Data pipelines Engineering Machine Learning ML models MLOps Pipelines Python R R&D Splunk SQL

Regions: Remote/Anywhere North America
Country: Mexico

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