AI Solution Engineer

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

Your future team 

You will join the Data Science team composed of 35+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. 

You will report to the Chapter Lead France or Sweden (depends one where you’ll be located). 

The AI Solution Engineer position will be located in Lyon or in Gothenburg and we are looking for several profiles in both locations. All positions are permanent contract in both locations. 

What you will do ? 

At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will enable the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale.  

You will collaborate with international stakeholders and product teams across Volvo Group domains, and take ownership of key technical decisions, architecture, and lifecycle management, including CI/CD, service deployment, orchestration, containerization, MLOps and model serving, while ensuring solutions align with security, governance, and regulatory requirements. 

Who are you? 

Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: 

Essential requirements   : 

• Strong programming skills with Python
• Hands-on experience with cloud engineering and platforms such as AWS, Azure, Google Cloud
• Solid experience with containerization and orchestration tools (e.g. Docker, Podman, Terraform)
• Strong experience with CI/CD (e.g. Azure Pipelines, Github Actions), deployment strategies, and git branching practices.
• Strong understanding of data science, machine learning and AI, including mathematical statistics
• Experience with microservices architecture and API development 

Nice to have : 

Master key aspects of data science, machine learning and AI, including mathematical statistics 

Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning