**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 ar...