Role overview
Your mission
As an MLOps Engineer, you will play a critical role in ensuring our machine learning models transition seamlessly from research to production. These models analyze car data over time to generate actionable insights, a couple examples of COMPREDICT portfolio:
Your primary responsibility is to design, implement, and maintain a robust, efficient, and secure pipeline that supports the entire lifecycle of machine learning models, from development to deployment and monitoring. As the number of deployed models grows, your expertise will be pivotal in managing model comparisons and maintaining performance standards.
What you'll work on
- Predicting tire pressure without traditional sensors.
- Predict the correct angle of vehicle’s front headlights to provide optimal visibility for the driver without blinding oncoming traffic.
What we're looking for
- Design and maintain scalable pipelines for deploying machine learning models whether in-cloud or in-vehicle.
- Ensure models are securely integrated into production environments with minimal latency.
- Implement monitoring systems to track model performance and flag issues.
Tags & focus areas
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