Senior Machine Learning Engineer

Publiceringsdatum: 2025-05-14

Funderar du på att söka jobb inom yrken med teknisk inriktning? En möjlighet har öppnat upp för dig att börja arbeta som applikationsingenjör hos Semicon Service Nordic AB. Semicon Service Nordic AB söker någon som vill arbeta heltid under 6 månader eller längre. Kanske är det du?

ospecificerad arbetsort är platsen där denna position är ledig. Semicon Service Nordic AB söker efter fler duktiga individer som vill arbeta som applikationsingenjör. De har just nu ett ledigt jobb som applikationsingenjör som kan vara av intresse för dig. Sista ansökningsdagen till jobbet som applikationsingenjör hos Semicon Service Nordic AB är fredag den trettonde juni 2025.

Jobbannons

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.