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Stepstone GmbH | Germany | 40xxx Düsseldorf | Permanent position | Full time / Home office | Published since: 24.10.2025 on stepstone.de

Machine Learning Engineer

Branch: Computer science, informati... Branch: Computer science, information and communication technology


At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 4,000+ employees and be part of reshaping the labour market and become the world's leading job platform. .

Your tasks • Your profile • What we offer

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 4,000+ employees and be part of reshaping the labour market and become the world's leading job platform.

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical is valued, and you'll have the opportunity to push the boundaries of machine learning applications. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everyone.

Key Responsibilities: Design and develop innovative machine learning models, turning data into actionable insights Manage and optimize AWS-based infrastructure, ensuring scalability and efficiency Create and maintain robust CI/CDs for seamless model deployment Collaborate close with data scientists to implement and scale ML solutions Contribute to the enhancement of our Data and AI Platforms, working crossfunctional-ly Required Qualifications: 2+ years of experience in ML Engineering or a related field (we value diverse backgrounds!) Strong foundation in software engineering principles and best practices Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch) Familiarity with version control systems and CI/CD Understanding statistical models and their evaluation methodologies We encourage applications from candidates of all backgrounds. If you don't meet all the qualifications but are passionate about ML and eager to learn, we'd still love to hear from you!

Your benefits We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 30 days of holidays + 2 extra days for Christmas and New Year's Eve

Hybrid working model

Company pension scheme

24/7 Employee Assistance Programs

Life Assurance Cover

Volunteering days

Job bike

Discounted parking or job ticket

In-house gym

In-house barista

And you can bring your dog to the office

Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, gender identity, sexual orientation, disability status, ethnicity, supply, age, family parental status, and any other characteristic. .

Company location

Location

ava Stepstone GmbH
40221  Düsseldorf
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

For more information read the original ad

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