As a Machine Learning Engineer, you’ll be a core contributor in the development and deployment of AI/ML-based software products used across the company’s global operations. You’ll work closely with engineers, data scientists, and stakeholders to design scalable and impactful solutions.

Key responsibilities include:

• Developing AI/ML software products end-to-end: from data exploration and feature engineering to model evaluation, deployment, and scaling
• Designing and maintaining large-scale data infrastructure for ML projects
• Writing clean, scalable, and future-proof code based on solid software engineering principles
• Building reusable components and services to support ML workflows (e.g. feature reuse, model traceability, A/B testing)
• Collaborating in agile, cross-functional teams to strengthen the company’s internal AI ecosystem

We’re looking for someone hands-on, technically sharp, and passionate about applying software engineering to machine learning challenges.

You bring:

• 4+ years of experience in machine learning engineering roles
• A BSc or MSc in Computer Science, Engineering, or equivalent practical experience
• Strong coding skills, with 3+ years of hands-on experience in Python
• Proven experience deploying ML models into production
• Familiarity with modern programming languages and software development practices
• Experience working with cloud-based ML tools (preferably Google Cloud / Vertex AI)
• Solid understanding of MLOps, pipelines, and deployment strategies
• A background in working with large-scale, heterogeneous data (batch and streaming)
• Comfort working in agile teams and a strong belief in data-driven development and responsible experimentation

Required: Cloud certification (GCP, Azure, or AWS). If not already certified, the consultant is expected to be certified within one month of the assignment start.

Location: 100% onsite in Stockholm Duration: May 26 – October 31, 2025 Scope: Full-time Remote work: Not applicable Application deadline: May 11, 2025

Apply now – interviews are held on a rolling basis.