Belmont Lavan is hiring a
Machine Learning Engineer, Internship - Sweden

Summary

The job description is for a Machine Learning Engineer who will develop AI/ML software products, design and maintain large-scale data infrastructure, work in cross-functional teams, and have experience with various AI/ML techniques and cloud technologies. The role requires a BSc or MSc degree in computer science, engineering, or related field, 4+ years’ professional experience as a Machine Learning Engineer, strong software engineering skills, coding experience in modern programming languages (especially Python), hands-on experience with cloud technologies for ML development (preferably Google Cloud Platform and Vertex AI), solid experience in MLOps practices, and familiarity with agile ways of working.

Requirements

• Have a BSc or MSc degree in computer science, engineering, or related field, or equivalent practical experience
• Have 4+ years’ professional experience working in relevant role(s) for a Machine Learning Engineer
• A hands-on person, with great software engineering skills, who loves coding, and like applying software engineering practices to machine learning and AI projects
• Have experience in developing software products that have been successfully deployed to production and scaled in a bigger organization
• Have several years of coding experience in modern programming languages, and strong background in Python programming, i.e. 4+ years
• Have great hands-on experience with cloud technologies for ML development, preferably Google Cloud Platform, and also including Vertex AI
• Have solid experience in MLOps practices, developing ML pipelines, data 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 and developing for high volume heterogeneous data (both batch and stream), preferably also including hands-on development in DBT, and have also a solid understanding of cloud data storage technologies and data quality
• Have experience from aligning and analyzing requirement; driving design solutions; breaking down work into stories and tasks; and making sure organizational standards and best-practices are implemented and followed
• Familiar with agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation
• Required cloud certification: GCP Professional Machine Learning Engine

Responsibilities

• 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, scaling it for a maintainable solution in the comprehensive fashion network of H&M
• Design, develop and maintain the large-scale data infrastructure required for AI/ML projects
• Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within the company