Artificial Intelligence Developer

5 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time
About 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.

Position: Machine Learning Engineer

The primary tasks as a Machine Learning Engineer include:

  1. Developing AI/ML software products, including exploring large data sets, trying out new algorithms, feature engineering, testing and evaluating model output, deploying the solution for production usage, and scaling out to the comprehensive fashion network of the company.
  2. Designing, developing, and maintaining large-scale data infrastructure required for AI/ML projects.
  3. Leveraging an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code.
  4. Developing solutions, components, services, and frameworks to address common needs in AI/ML projects, such as feature reuse, model traceability, A/B testing, etc.
  5. Working in a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the company.
Required Skills and Experience:
  • Bachelor's or Master's degree in computer science, engineering, or related field, or equivalent practical experience.
  • 4+ years of professional experience working in relevant roles for a Machine Learning Engineer.
  • A hands-on person who loves coding and applying software engineering practices to machine learning projects.
  • Experience in developing software products that have been successfully deployed to production.
  • Several years of coding experience in modern programming languages, with a strong background in Python programming (i.e., 3+ years).
  • Great experience with cloud technologies for ML development, preferably Google Cloud.
  • Solid experience in MLOps practices, developing ML pipelines, and deploying ML applications to production.
  • Strong working knowledge of various AI/ML techniques and experience working with different frameworks.
  • 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, and reliable and responsible experimentation.


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