Machine Learning Engineer - Stockholm

apartmentProfessional Galaxy AB placeStockholm calendar_month2025-04-29

Professional Galaxy looking for a ML engineer for one of our clients in Stockholm for below job:

Develop AI/ML software products including but not limited to explore large data set, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usage and scale out to the comprehensive fashion network of the company Design, develop & maintain the large-scale data infrastructure required for the AI/ML projects. Leverage on understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code. Develop solutions, components, services and frameworks to address common needs in AI/ML projects, like feature reuse, model traceability, A/B test, etc. Required skills and experiences:

BSc or MSc degree in computer science, engineering or related field, or equivalent practical experience.
Have 4+ years of professional experience working in relevant role for a Machine Learning Engineer.
You love coding, and like applying software engineering practices to machine learning projects.
Have experience in developing software products that have been successfully deployed to production.
Have several years of coding experience in modern programming languages, and strong background in Python programming, i.e.

3+ years.

Have great experience with cloud technologies for ML development, preferably Google Cloud and also Vertex AI.
Have solid experience in MLOps practices, developing ML pipelines, and deploying ML applications to production.
Have a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
Have experience handling high volume heterogeneous data (both batch and stream) and a solid understanding of data structures, databases, and data storage technologies.
Familiar with agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation.

Deadline to submit: 20250505

Duration: 20250512 - 20251231

We recommend you to submit the application asap because position can be filled before the deadline.

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