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At Professional Galaxy AB, we combine innovative technology with strategic business insights to drive growth and optimize operations. Our expert team provides tailored IT solutions and consultancy services designed to streamline your processes and elevate your competitive edge.
The primary tasks as a Machine Learning Engineer are:
Assignment Period: 2024.10.21 - 2025.03.31
Submission deadline: 2024-10-20
- Innovative recruitment agency based in Sweden.
- Assisting companies in recruiting the right talent at the right time, minimizing costs.
- Submitting qualified candidates based on daily requirements.
The primary tasks as a Machine Learning Engineer are:
- 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 and 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.
- Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within the company.
- Have a BSc or MSc degree in computer science, engineering or related field, or equivalent practical experience.
- Have 4+ years professional experience working in relevant role(s) for a Machine Learning Engineer.
- A hands-on person who loves 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.
- 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.
Assignment Period: 2024.10.21 - 2025.03.31
Submission deadline: 2024-10-20
Key Skills
Ranked by relevance
machine learning
data structures
design patterns
storage
python
cloud
mlops
ai
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- Posted
- Mar 10, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Stockholm
- Company
- Professional Galaxy AB
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Data & Machine Learning Engineer (all genders)
2026-05-21
Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
Related
Data Scientist with a strong background in machine learning
2026-04-15
Full-time
Not Applicable
Sweden
IT Services
Engineering
View Job Details
Related
Software engineer/.Net
2026-05-05
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