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- Senior Machine Learning Engineer in Stockholm

Senior Machine Learning Engineer in Stockholm
Semicon Service Nordic ABOkänd ort
Previous experience is desired
We are seeking a highly skilled Senior Machine Learning Engineer to join our AI/ML development team. This role focuses on developing advanced AI-driven solutions. You will lead the design, development, and maintenance of AI/ML software products, driving innovative projects from ideation to scalable deployment.
Location: Onsite, Stockholm
Cloud Certification: GCP Machine Learning Certification required
Key Responsibilities:
- AI/ML Solution Development: Build and maintain AI/ML solutions, handling large datasets, feature engineering, data pipeline development, model evaluation, and scalable production deployment.
- Data Infrastructure: Design and establish large-scale data infrastructures tailored for AI/ML projects.
- Architectural Leadership: Influence architectural decisions and define technical roadmaps while prioritizing code quality, scalability, and maintainability.
- Reusable AI/ML Frameworks: Create and enhance reusable components, addressing common needs like model monitoring, traceability, versioning, and inference serving.
- Cross-Functional Collaboration: Partner with engineers, data scientists, and business teams to strengthen the AI ecosystem.
Required Skills and Experience:
- Education: BSc or MSc in Computer Science, Machine Learning, or a related field; equivalent professional experience considered.
- Professional Experience: At least 5+ years in roles focused on AI/ML development, with expertise in large-scale production environments.
- Software Engineering Background: Strong foundation in coding (Python, 4+ years), back-end development, and familiarity with FastAPI. Experience with DevOps, testing, and Site Reliability Engineering (SRE) principles in AI/ML projects.
- Cloud Expertise: Proven knowledge of Google Cloud Platform (GCP) and Vertex AI, with a focus on cloud-based ML development.
- MLOps Practices: Hands-on experience with ML pipelines, production deployments, and lifecycle management.
- Data Science Proficiency: Deep understanding of AI/ML frameworks and techniques, along with high-volume heterogeneous data (batch and stream). Skilled in SQL, DBT, and cloud storage technologies.
- Analytical and Solution-Driven Thinking: Proficiency in analyzing requirements and delivering practical solutions with scalability.
This role offers an exciting opportunity to leverage your expertise and be a key contributor.
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