Machine Learning Ops Engineer

Stockholm - Sweden

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a Machine Learning Engineer specialized in MLOps to join our central AI/ML Hub and collaborate closely with game studios and other central hubs (Data Marketing Ads) in order to operationalize and scale machine learning solutions across Stillfront.

We are at a pivotal stage in scaling AI and ML across Stillfront with a clear ambition to accelerate and consolidate our efforts in order to establish AI and ML as a fundamental part of our DNA. This role will be instrumental in ensuring that our ML solutions are reliable maintainable and scalable in production.

As our MLOps Engineer you will be leading building ML pipelines infrastructure and development workflows while also contributing to modeling work when needed.
You will play a key role in driving the creation of the technical pillars that allow the team to ship iterate and scale ML effectively across the Stillfront portfolio.

YOUR MISSION

Design build and maintain ML pipelines covering training validation deployment monitoring and retraining.
Operationalize ML models developed in collaboration with ML data and backend engineers and ensure their reliability in production.
Support experimentation by making ML systems easier to deploy monitor and iterate on.
Build up the developer experience for ML engineers (environment setup dependency management automation CI/CD). Focused on reusability standardization and scalable development workflows.
Apply strong software engineering practices within ML codebases (modularity testing version control code reviews).
Contribute to modeling tasks when needed including data preparation feature engineering experiment execution and evaluation.
Collaborate closely with data engineers and backend engineers to ensure clean data flows and robust integrations.

YOUR PROFILE

Degree in Computer Science Software Engineering Data Engineering or related technical disciplines.
5 years of professional experience in software engineering ML engineering or data-intensive engineering roles.
Hands-on experience building shipping and maintaining production ML systems pipelines or data workflows.
Strong programming skills especially in Python and SQL with a clear software engineering mindset.
Experience with cloud-based environments and production infrastructure.
Experience working with large-scale datasets and distributed processing frameworks (e.g. Spark or similar).
Practical experience of the ML lifecycle and ability to collaborate effectively on modeling tasks.
Experience contributing to collaborative codebases using Git and following structured development practices (pull requests reviews branching workflows).

BONUS EXPERIENCE

Experience contributing to internal platforms or shared developer tooling.
Exposure to containerization and orchestration tools.
Prior experience in gaming consumer products or large-scale data environments.

BENEFITS

Competitive salary and comprehensive benefits package.
Autonomy to explore and implement new technologies tools and partners.
Work in a dynamic environment with high exposure to a wide variety of genres tools and diversified products.
Flexible working hours and a supportive collaborative work environment.
Opportunity to work with a talented team of professionals and make a significant impact on a globally recognized product

Stillfront

Stillfront is a global gaming company. We develop a wide range of digital games that attract over 50 million players each month. From well-established franchises like Supremacy Big Farm and BitLife to niche games we span many different genres including strategy simulation RPG and action and casual and mash-up games.

We believe gaming can be a force for good. And we want to create a gaming universe that is digital affordable equal and sustainable. So we focus on developing games that are all about having a rewarding hobby a great social experience or a strategic challenge.

Our HQ is in Stockholm Sweden but our game development is done by teams and studios all over the world. Our main markets are the US Japan MENA Germany and the UK. Were proud that our company shares are listed on the Nasdaq Stockholm.

We are looking for a Machine Learning Engineer specialized in MLOps to join our central AI/ML Hub and collaborate closely with game studios and other central hubs (Data Marketing Ads) in order to operationalize and scale machine learning solutions across Stillfront.We are at a pivotal stage in scali...

YOUR MISSION

Design build and maintain ML pipelines covering training validation deployment monitoring and retraining.
Operationalize ML models developed in collaboration with ML data and backend engineers and ensure their reliability in production.
Support experimentation by making ML systems easier to deploy monitor and iterate on.
Build up the developer experience for ML engineers (environment setup dependency management automation CI/CD). Focused on reusability standardization and scalable development workflows.
Apply strong software engineering practices within ML codebases (modularity testing version control code reviews).
Contribute to modeling tasks when needed including data preparation feature engineering experiment execution and evaluation.
Collaborate closely with data engineers and backend engineers to ensure clean data flows and robust integrations.

YOUR PROFILE

Degree in Computer Science Software Engineering Data Engineering or related technical disciplines.
5 years of professional experience in software engineering ML engineering or data-intensive engineering roles.
Hands-on experience building shipping and maintaining production ML systems pipelines or data workflows.
Strong programming skills especially in Python and SQL with a clear software engineering mindset.
Experience with cloud-based environments and production infrastructure.
Experience working with large-scale datasets and distributed processing frameworks (e.g. Spark or similar).
Practical experience of the ML lifecycle and ability to collaborate effectively on modeling tasks.
Experience contributing to collaborative codebases using Git and following structured development practices (pull requests reviews branching workflows).

BONUS EXPERIENCE

Experience contributing to internal platforms or shared developer tooling.
Exposure to containerization and orchestration tools.
Prior experience in gaming consumer products or large-scale data environments.

BENEFITS

Competitive salary and comprehensive benefits package.
Autonomy to explore and implement new technologies tools and partners.
Work in a dynamic environment with high exposure to a wide variety of genres tools and diversified products.
Flexible working hours and a supportive collaborative work environment.
Opportunity to work with a talented team of professionals and make a significant impact on a globally recognized product