Machine Learning Engineer

Publiceringsdatum: 2025-06-03

Vill du arbeta inom yrken med teknisk inriktning-branschen? Semicon Service Nordic AB söker just nu efter en produktionsingenjör, maskin och du kan vara den de letar efter. Detta är ett jobb på heltid där Semicon Service Nordic AB letar efter någon under 6 månader eller längre.

ospecificerad arbetsort är platsen där detta jobb har sin tjänsteort. Semicon Service Nordic AB har just nu ett ledigt jobb som produktionsingenjör, maskin. Du har fortfarande tid att söka jobbet som produktionsingenjör, maskin hos Semicon Service Nordic AB om du sickar in din ansökan senast sista ansökningsdag som är torsdag den tredje juli 2025.

Jobbannons

Role: Machine Learning Engineer

Seniority Level: Senior

Location: Stockholm, Sweden (100% Onsite)

Remote: Not allowed (0%)

Application Deadline: 27 June 2025

Assignment Overview

We are looking for a skilled Machine Learning Engineer to join our client's AI/ML team. You will play a key role in designing and developing scalable ML systems and infrastructure, contributing to both research and production-ready ML products in a complex and data-rich environment.

Key Responsibilities

• Design, develop, test, and deploy AI/ML software products.
• Explore large datasets, perform feature engineering, and evaluate model outputs.
• Scale ML solutions to meet the needs of a large, distributed business network.
• Build and maintain large-scale data infrastructure for AI/ML projects.
• Write clean, maintainable, and scalable code using software engineering best practices.
• Develop shared ML components and frameworks (e.g., for feature reuse, A/B testing, traceability).
• Collaborate within cross-functional agile teams, including engineers, data scientists, and business stakeholders.

Required Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• Minimum 4 years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills with at least 3 years of experience in Python.
• Proven experience building software products successfully deployed in production environments.
• Solid understanding of MLOps and experience in developing and deploying ML pipelines.
• Hands-on experience with cloud platforms (preferably Google Cloud, especially Vertex AI).
• Working knowledge of modern AI/ML techniques and frameworks.
• Experience with high-volume data handling, including batch and stream processing.
• Strong grasp of data structures, data storage technologies, and databases.
• Comfortable working in agile teams with a focus on collaboration, experimentation, and data-driven development.

Certification Requirement

• Cloud certification in GCP, AWS, or Azure is required.
• Consultants not already certified must obtain a certificate within 1 month of the assignment start date.

Required Skills

• Python
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Google Cloud Platform (GCP)
• Vertex AI
• AWS or Azure (optional but certification required)
• MLOps & ML pipelines
• Data engineering & infrastructure