Machine Learning Engineer Contract Job Stockholm Sweden AI

For our client we are looking for a Machine Learning Engineer.

The primary tasks for a Machine Learning Engineer in MLE area are:

• Develop AI/ML software products including but not limited to 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.
• Design, develop and maintain the large-scale data infrastructure required for the AI/ML projects.
• Leverage 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 testing, etc.
• Work 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 experiences:

• Have a BSc or MSc degree in computer science, engineering or related field, or equivalent practical experience.
• Have 4+ years of professional experience working in relevant role(s) for a Machine Learning Engineer.
• A hands-on person who loves coding and likes 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, with a 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, and reliable and responsible experimentation.

Required cloud certification: Azure or GCP

Period from: 2024-10-21

Period to: 2025-03-31

Utilization: 100%

Remote work allowed: True, 50% allowed #J-18808-Ljbffr