Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.
The world is how we shape it. Let’s shape it together.
As an MLOps Engineer, you will help our clients with automating and managing the machine learning lifecyle. More specifically, the responsibilities include design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs. You identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc, Furthermore, you collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution. In addition you implement CI/CD pipelines, IaC, monitoring for models and infrastructure.
In this role, you will need to be able to adapt quickly to new technologies, applications and environments. You will operate with our current clients on a medium to long-term basis.
We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!
You’ll have knowledge and experience of the following:
Bonus
What we can offer you
As a member of one of Europe’s largest digital solutions providers, you’ll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you’ll be part of a dynamic network of 56,000 professionals at all stages of their careers. With a wide array of offices to explore, you can find your ideal location and take the next step in your career.
You’ll become a part of a major Tech player in Europe recognised for its consulting, digital services, and software development. On top of that, you’ll join our Data & AI team, where we support enterprises and institutions to become more data driven, and assist our clients to increase business efficiency and create impact with data. We offer a complete portfolio of Services and Solutions to unburden organisations in every step of their transition: from defining and executing the data strategy and governance, over setting up data platforms, to visualizing dashboards and applying the latest data science and artificial intelligence methodologies.
Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.
We offer a generous employee benefits package that includes:
People are the cornerstone of our success. That’s why we aspire to be bolder together. Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.
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Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, 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, gender (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.