MLOps Engineer - 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.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
- 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
- 5 years of experience as a ML Engineer or similar roles.
- 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.
- Excellent communication skills, both oral and written in English.
WHAT YOU’LL 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.
- At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.
- At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Cosmos DB Databricks Data pipelines Engineering Machine Learning ML models MLOps Pipelines Python R R&D Splunk SQL
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