MLOps Engineer
What are you going to do?Your energy makes it possible- 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.
- Minimum of 3 years' experience as an MLOps Engineer and/or Platform Engineer.
- Knowledge and experience with Platform Engineering on Kubernetes.
- Cloud engineering skills on AWS, including S3 and RDS.
- Proficiency with Docker, Python, CI/CD, Linux, and Git, with familiarity with ArgoCD and GitLab being advantageous.
- Experience with the MLOps process and tools like Airflow and MLFlow.
- Proven track record in building reliable and robust software.
- Interest in both building and maintaining (DevOps) products.
Your colleagues in the Data Science Team. Enexis is one of the major grid operators in the Netherlands, advancing digitalization extensively. As part of the Data Science team, you'll work on future data solutions-contributing to reliable and efficient grid management and the energy transition. Within the Data Science ART, you'll join the Platform Team, supporting three data science teams in maintaining their use cases, developing AutoDevOps solutions, and building toolkits for deploying ML applications.
What do you get from us?And of course, we invest energy in you too- At Enexis, you'll be at the forefront of the energy transition, starting with a comprehensive welcome package and onboarding program.
- Salary: between €4,059 and €5,799 gross per month (based on a 40-hour workweek), increasing up to €7,463 gross per month including secondary benefits.
- 70% contribution to your ABP Choice Pension.
- Personal budget of 10% and a 13th month of 10.7% of your gross annual salary.
- 24.5 vacation days for a full-time position, with options to buy extra days off.
- Remote work options: Including a fully equipped home office and a €2.35 daily allowance.
- MacBook and phone: For work and private use.
- Travel allowance and a first-class public transport subscription for business use.
- Vitality budget of €500 for gym memberships and other pursuits.
- Room to grow with our development platform or external courses and training.
Work as an MLOps Engineer on the energy network of tomorrow
Apply through the button at the end of the page. You'll receive feedback within two weeks. Should you have any questions about the role, feel free to contact Marvin Kerdel, Corporate Recruiter IT, through marvin.kerdel@enexis.nl.
Good to know
After applying, you'll receive an email detailing the procedure, typically involving two interviews. A screening process might include assessments, reference checks, and a Certificate of Conduct (VOG). More information will be provided during the procedure.
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