Machine Learning Specialist

4 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time
About Us

We're TN Sweden, a leading provider of innovative IT solutions and consultancy services. Our team of experts helps businesses streamline their processes and stay ahead of the competition.

Job Description

This is a unique opportunity to join our team as a Machine Learning Engineer and contribute to the development of our AI ecosystem. As a key member of our team, you'll be responsible for designing, developing, and maintaining large-scale data infrastructure for our AI/ML projects.

Responsibilities
  • Design and develop 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.
  • Maintain and improve the large-scale data infrastructure required for the AI/ML projects.
  • Apply 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 testing, etc.
  • Collaborate with a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the company.
Requirements
  • 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 role(s) 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 a variety of 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.

Part-time remote work option available: 50%



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