Machine Learning Software Developer

13 hours ago


Stockholm, Stockholm, Sweden TN Sweden Full time

At Professional Galaxy AB, we combine innovative technology with strategic business insights to drive growth and optimize operations.

About Us
  • 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.
Position: Machine Learning Engineer

The primary tasks as a Machine Learning Engineer are:

  1. Developing software products that incorporate AI/ML techniques, including data exploration, algorithm development, feature engineering, testing, and model deployment.
  2. Designing and maintaining large-scale data infrastructure required for AI/ML projects.
  3. Leveraging software architecture and design patterns to write scalable, maintainable, well-designed code.
  4. Creating solutions, components, services, and frameworks to address common needs in AI/ML projects.
  5. Collaborating with cross-functional teams of engineers, data scientists, and stakeholders to build the AI ecosystem.
Key Responsibilities:
  • 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.
  • A strong passion for coding and applying software engineering practices to machine learning projects.
  • Experience developing software products successfully deployed to production.
  • Several years of coding experience in modern programming languages, with a focus on Python (3+ years).
  • Excellent experience with cloud technologies for ML development, preferably Google Cloud.
  • Solid experience in MLOps practices, developing ML pipelines, and deploying applications to production.
  • Strong knowledge of various AI/ML techniques and experience working with different frameworks.
  • Experience handling high-volume heterogeneous data and understanding data structures, databases, and storage technologies.
  • Familiarity with agile ways of working, team collaboration, data-driven development, and experimentation.


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