Machine Learning Engineer Groningen

Role Summary

As a Machine Learning Engineer you do not work with data for data's sake, but to get real value from it. You know: building models is one thing, making sure they work and continue to run in practice is where it counts.

You work on projects that matter. From hypothesis to production. You develop, test and implement ML solutions that are actually used.

Responsibilities

What you will do, among other things

• You make raw data usable with smart models, pipelines and visualizations
• You convert hypotheses into concrete experiments
• You work with modern ML tools and cloud platforms (Azure, AWS, GCP)
• You ensure that models do not remain on the shelf, but actually run in production
• You think along with customers and development teams to make solutions scalable, maintainable and impactful

Requirements

You are curious, analytical and know how to translate complex models into something that customers can actually use. You enjoy working with others, but you also take responsibility independently.

• a master's degree or comparable experience in data science, machine learning or AI
• experience with Python and SQL
• knowledge of cloud platforms such as Azure, AWS or GCP
• experience in building and putting models into production
• affinity with themes such as explainable AI, MLOps, anomaly detection or, for example, NLP
• you speak Dutch at a minimum B2 level

Benefits

This is what you get from us

You are given the space to do your work your way. We trust your expertise and ensure that you have the right people and resources around you to grow.

What you can expect

• you will immediately receive a permanent contract with a good salary
• a mobility budget or lease car that suits your way of traveling
• a laptop, telephone and work-from-home budget so that you are well rested at home
• 27 days of vacation (7 of which via the Flex Benefits budget), with the option to purchase up to 40 days
• a good pension scheme and collective health insurance
• access to more than 250 training courses through the Sopra Steria Academy
• the opportunity to be inspired through meetups, knowledge sessions and events within and outside your field
• and fun outings with your team, from game nights to a day at Efteling
• You join the Data practice within Area Noord. A team where knowledge sharing comes naturally, content comes first and where you work together with colleagues from different areas of expertise.
• Does this job seem like something for you?
• Are you ready to shape the world with us? Nice. We look forward to your application.
• ______

Sopra Steria is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, national origin, color, leave for family or medical care, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.

About the Company

Sopra Steria is a European tech partner with more than 56,000 colleagues in 30 countries. We help organizations with smart, scalable software solutions. Technology is the tool, people make the difference.

You work in Groningen, from the Data practice of Sopra Steria Noord. Here, data scientists and engineers come together to build solutions that help customers move forward. We do this for organizations in the public and private sector, at the intersection of AI, analytics and strategic advice.

In addition to the data professionals, you work together with colleagues from teams such as Strategy & Business Design, Product Management, Java, Microsoft, frontend and agile testing. Together we create the bridge between technology and organization.

The world is how we shape it. Let's shape it together.