MET JOUW ENERGIE KAN HET

• Als MLOps Engineer houd je je bezig met het ontwikkelen, onderhouden en uitbreiden van ons Data Science Platform, waarvan je collega’s dagelijks gebruik maken om nieuwe modellen te bouwen en in productie te brengen.
• Je bent een onmisbare schakel in het faciliteren van veilige, betrouwbare en continu verbeterende oplossingen binnen de Data Science afdeling die de energietransitie vooruithelpen.

YOUR COLLEAGUES FROM THE DATA SCIENCE TEAM.

In our society, energy is indispensable. The current dynamics in the world demand increasing flexibility and acceleration on many fronts. With nearly 7,500 dedicated colleagues, we address social demands and challenges in the energy world. By utilizing our knowledge, expertise, and energy in every possible way, we guide the energy transition. This is a societal role that we continue to fulfill even in times of rapid change. Digitalization plays an important role in this.
Enexis is one of the major network operators in the Netherlands and is significantly advancing digitalization. As part of the Data Science team, you work on the data solutions of the future, contributing to reliable and efficient grid management and the energy transition.
Within the Data Science team, you will work in the Platform team, which supports three data science teams with maintaining their use cases. Tasks include developing AutoDevOps solutions, building toolkits for deploying ML applications, and answering questions from Data Scientists, Data Engineers, and Machine Learning Engineers within the team.
We believe it’s important that you feel at home with us. We are all different, and the beauty of that is that we complement each other through those differences. We need each other’s perspectives and opinions for a successful energy transition! Read more about our diversity and inclusion policy here.
Job Description

THE CHALLENGES YOU WILL TACKLE•

Design, improve, and maintain the building blocks for Machine Learning: you will work on the infrastructure required to train and run an increasingly large and diverse set of ML models. From Proof of Concept to Production, and from Decision Tree to Neural Network, you find a solution for everything.
• Apart from infrastructure, you create building blocks for data processing and validations. Considering the knowledge distribution within the team, we are looking for someone who, in addition to having the necessary experience in platform engineering, has also earned their stripes in data engineering.
• Ensure the reliability and continuity of the platform: you monitor the performance, reliability, and security of our Machine Learning environment. You feel responsible and help users when problems arise. Or better yet: you identify risks before they become problems and proactively seek solutions and improvements.
• Collaborate within a multidisciplinary team: you work closely with data scientists, data engineers, and other professionals to jointly create data-driven solutions that advance the energy transition.
Recognize new opportunities and seize the latest developments: with the extensive opportunities Enexis offers for development and training, you stay up-to-date with the latest technology and best new ideas to build and facilitate innovative products.
Job Requirements

HOW YOU APPROACH IT

You are an independent and enterprising MLOps Engineer. With your combination of technical expertise and a pragmatic mindset, you help to effectively implement machine learning models in a production environment. You build, manage, and implement tools that support the MLOps process, such as secure experimental environments, workflow orchestrators, CI/CD pipelines, model performance monitoring applications, and performance dashboards. You are always looking for new techniques and better solutions, contributing to the efficiency and reliability of our products. With your dedication and determination, you make a real impact on a sustainable and data-driven future!

GOOD TO KNOW

• After your application you will receive an email with more information about the procedure. It usually consists of two interviews: a first (online) interview with the manager and recruiter and a second interview with your future colleagues on location.
• A screening is part of the application procedure. This can consist of an assessment, requesting references and a Certificate of Good Conduct (VOG). You will receive more information about this during the procedure.

Please refer the Job description for details