Machine Learning Engineer - Stockholm
Workplace: Stockholm, Sweden
Expires: October 15, 2025
Professional Galaxy AB is seeking a Machine Learning Engineer for one of our clients in Stockholm. The role involves developing AI/ML software products, exploring large datasets, trying new algorithms, feature engineering, testing and evaluating model outputs, deploying solutions to production, and scaling them across the company's fashion network.
Main requirements:
- BSc or MSc degree in Computer Science, Engineering or related field, or equivalent practical experience.
- Minimum 4 years professional experience as a Machine Learning Engineer.
- Passion for coding and applying software engineering practices to machine learning projects.
- Experience in developing software products successfully deployed to production.
- Strong Python programming skills with at least 3 years experience.
- Experience with cloud technologies for ML development, preferably Google Cloud and Vertex AI.
- Solid experience in MLOps, developing ML pipelines, and deploying ML applications to production.
- Strong knowledge of various AI/ML techniques and frameworks.
- Experience handling high volume heterogeneous data (batch and stream).
- Good understanding of data structures, databases, and data storage technologies.
- Familiarity with agile methodologies, team collaboration, and data-driven experimentation.
Responsibilities:
- Develop AI/ML software products including data exploration, algorithm experimentation, feature engineering, testing, and evaluation of models.
- Deploy AI/ML solutions to production and scale across company network.
- Design, develop, and maintain large-scale data infrastructure needed for AI/ML projects.
- Write scalable, maintainable, and well-designed code leveraging software architecture and design patterns.
- Develop components, services and frameworks for common AI/ML needs such as feature reuse, model traceability, and A/B testing.
Required hard skills:
- Python programming (3+ years)
- AI/ML techniques and frameworks
- Cloud technologies for ML development (preferably Google Cloud, Vertex AI)
- MLOps and ML pipeline development
- Handling high volume heterogeneous data
- Data structures and databases
- Software architecture and design patterns
Soft skills:
- Passion for coding
- Agile work methodology
- Team collaboration
- Data-driven development approach
- Responsible and reliable experimentation
Coding languages:
- Python
Natural languages:
- English (Proficient)
Cultural skills:
- Agile team collaboration
- Data-driven decision making
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