AI/ML Software Developer
2 weeks ago
**Job Description**
We are seeking a highly skilled AI/ML Software Developer to join our team at Professional Galaxy AB. As a key member of our AI ecosystem, you will be responsible for designing, developing, and maintaining large-scale data infrastructure required for AI/ML projects.
**Key Responsibilities:**
- Develop AI/ML software products, including exploring large datasets, trying out new algorithms, feature engineering, testing and evaluating model output, deploying the solution for production usage, and scaling to a comprehensive fashion network.
- Design and develop scalable, maintainable, well-designed, and future-proof code, leveraging your understanding of software architecture and 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 a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the company.
**Requirements:**
- BSc or MSc degree in Computer Science, Engineering, or a 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 successfully deployed to production.
- Strong background in Python programming (3+ years) and 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.
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