AI/ML Software Developer

2 weeks ago


Stockholm, Stockholm, Sweden Professional Galaxy AB Full time

**Job Description**

We are seeking a highly skilled AI/ML Software Developer to join our team at Professional Galaxy AB. As a key member of our AI ecosystem, you will be responsible for designing, developing, and maintaining large-scale data infrastructure required for AI/ML projects.

**Key Responsibilities:**

  1. Develop AI/ML software products, including exploring large datasets, trying out new algorithms, feature engineering, testing and evaluating model output, deploying the solution for production usage, and scaling to a comprehensive fashion network.
  2. Design and develop scalable, maintainable, well-designed, and future-proof code, leveraging your understanding of software architecture and design patterns.
  3. Develop solutions, components, services, and frameworks to address common needs in AI/ML projects, such as feature reuse, model traceability, A/B testing, etc.
  4. Work in a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the company.

**Requirements:**

  • BSc or MSc degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 4+ years of professional experience working in a relevant role for a Machine Learning Engineer.
  • Hands-on experience with coding and applying software engineering practices to machine learning projects.
  • Experience in developing software products successfully deployed to production.
  • Strong background in Python programming (3+ years) and 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.
  • Familiarity with agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation.


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