Machine Learning Engineer
4 weeks ago
At Professional Galaxy AB, we are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and deploying AI/ML software products, designing and maintaining large-scale data infrastructure, and working with cross-functional teams to build the AI ecosystem within the company.
Key Responsibilities:- Develop AI/ML software products, including exploring large datasets, trying out new algorithms, feature engineering, testing and evaluating model output, and deploying solutions for production usage.
- Design and develop large-scale data infrastructure required for AI/ML projects.
- Write scalable, maintainable, well-designed, and future-proof code, leveraging understanding of software architecture and software design patterns.
- Develop solutions, components, services, and frameworks to address common needs in AI/ML projects, such as feature reuse, model traceability, A/B testing, etc.
- Work in cross-functional agile teams with highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the company.
- Bachelor's or Master's degree in Computer Science, Engineering, or 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 that have been successfully deployed to production.
- Strong background in Python programming, with 3+ years of experience.
- 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.
Remote work arrangement: 50%
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