Belmont Lavan is hiring a
Machine Learning Engineer, Internship - Sweden
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Machine Learning Engineer
🏢 Belmont Lavan
💵 $80k-$150k
📍Sweden
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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
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