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MLOps - Remote

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Full Remote
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Offer summary

Qualifications:

Experience monitoring machine learning models in production., Knowledge of tools like WhyLabs, Splunk, and Datadog., Familiarity with AKS and Databricks., Comfortable with Python or SQL for debugging and building workflows..

Key responsabilities:

  • 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.
  • Collaborate with the team to ensure models stay accurate and useful.

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Capgemini Engineering XLarge https://www.capgemini.com/about-us/who-we-are/our-brands/capgemini-engineering/
10001 Employees
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Job description

MLOps (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.

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.

What You Will Do

  • 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

What We Are Looking For

  • 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.

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.

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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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