Arbetsbeskrivning

Position: Senior Machine Learning Engineer

Location: Onsite – Stockholm

Cloud Certification Required: Yes – Google Cloud Platform (GCP) Machine Learning Certification

About the Role

We are seeking a Senior Machine Learning Engineer to join our client’s dynamic AI/ML team within a global fashion network. In this role, you’ll be at the forefront of developing and scaling advanced AI-powered solutions that drive innovation and transform digital experiences.

As a key contributor, you will design and deploy end-to-end AI/ML systems—from data processing and modeling to production-ready deployment—ensuring performance, scalability, and reliability in a modern cloud-native environment.

Key Responsibilities

• Design, develop, and maintain scalable AI/ML solutions across the full lifecycle, including data exploration, feature engineering, model training, evaluation, and deployment.
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• Build and maintain large-scale data infrastructure to support AI/ML development and production use.
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• Drive architectural decisions and contribute to the technical roadmap, ensuring clean, maintainable, and high-quality code.
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• Create reusable frameworks and components for model versioning, monitoring, traceability, and both batch and online inference.
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• Collaborate closely with cross-functional teams—including engineers, data scientists, product managers, and business stakeholders—to build and continuously improve the AI ecosystem.
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• Apply MLOps best practices to automate and streamline ML model deployment and operations.
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• Ensure all solutions are built with cybersecurity, reliability, and performance in mind.

Required Skills & Experience

• 5+ years of experience in machine learning engineering or a similar role, with a strong focus on delivering AI/ML products.
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• Robust software engineering skills, including DevOps, automated testing, and experience applying SRE principles to AI/ML projects.
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• Proven track record of deploying ML models and solutions to production in large-scale, data-rich environments.
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• Expert in Python (4+ years) and back-end development frameworks (e.g., FastAPI).
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• Deep experience with Google Cloud Platform (GCP) and Vertex AI for cloud-native ML development.
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• Strong grasp of MLOps, including pipeline development and deployment automation.
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• Proficiency with data science techniques and ML frameworks, working with both batch and streaming data.
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• Skilled in SQL, DBT, and modern cloud storage technologies.
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• Experience in requirement analysis, solution design, task breakdown, and stakeholder collaboration.
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• Comfortable working in agile development environments, with a commitment to data-driven decision making.

Preferred Qualifications

• GCP Machine Learning Certification (Required)
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• Previous experience working in the fashion or retail sector (Preferred but not required)

What You’ll Gain

• The opportunity to work in a high-impact role at the cutting edge of AI innovation in a global organization.
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• A collaborative environment where your ideas help shape the future of fashion technology.
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• Access to modern tools, cloud infrastructure, and data at scale to build transformative solutions.