- As an MLOps Engineer, you'll be responsible for developing, maintaining, and expanding our Data Science Platform, which your colleagues use daily to build and deploy new models into production.
- You are a vital link in enabling secure, reliable, and continuously improving solutions within the Data Science ART that help drive the energy transition forward.
- A typical day involves improving our platform-sometimes working on technical optimizations, other times supporting colleagues who use the platform we develop and maintain.
- Designing, improving, and maintaining building blocks for Machine Learning: You'll work on the infrastructure needed to train and run an increasingly diverse set of ML models, from proof of concept to production, and from decision trees to neural networks.
- Ensuring platform reliability and continuity: You'll monitor performance, reliability, and security of our ML environment, take ownership, assist users when issues arise, and identify risks before they become problems.
- Collaborating within a multidisciplinary team: You'll work closely with data scientists, data engineers, and other professionals to create data-driven solutions that support the energy transition.
- Spotting new opportunities and staying up to date: With Enexis' extensive development and training options, you'll stay informed about the latest technologies to build and support innovative products.