Machine Learning Engineer / Tech Lead
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
This role is for a Machine Learning Engineer / Tech Lead at Volvo Group in Lyon, France, focusing on the engineering of production-grade machine learning solutions. You will be responsible for the full lifecycle of AI and ML products, including design, deployment, operation, and continuous improvement, with a focus on NLP and LLM applications.
Responsibilities
- Lead the engineering of production-grade machine learning solutions.
- Industrialize, operate, and continuously improve ML and AI products at scale.
- Design, build, deploy, and operate ML and AI products with strong engineering practices (CI/CD, monitoring, model/feature management).
- Monitor model drift and partner with business to improve pipelines.
- Apply NLP and LLM approaches for classification use cases.
- Design solutions meeting security, governance, and regulatory requirements.
- Take leadership and responsibility of an AI product with a team of Data Scientists and ML Engineers.
Requirements
- Deep understanding of statistics, probability, and machine learning.
- Relevant academic degree in a quantitative field (mathematics, statistics, engineering, or physics).
- Proven experience managing the full lifecycle of AI and ML software (CI/CD, modularized architecture, orchestration, quality assurance, monitoring).
- Ability to manage and industrialize applications based on advanced deep learning techniques and foundational models.
- Extensive experience of programming in relevant languages and software management (Git).
- Hands-on experience with cloud engineering (infrastructure, data, compute) for AI products.
- Experience with microservices architecture and API development is a merit.
- Experience with tools such as Azure Pipelines, Github Actions, Docker, Podman, Terraform.
- Previous experience of managing and owning AI products along with industrialization and commercialization in regulated environments.
- Technical leadership experience guiding cross-functional teams.
- Clear communication skills in English.
- Ability to collaborate across cultures and time zones.
Desired Qualifications
- Domain experience of vehicle data, diagnostics, telematics, manufacturing, or warranty analytics would be meriting.
- Experience with Swedish is preferably also required.
Benefits
- A role where you can create measurable impact through Data and AI, including contributions to sustainability goals.
- A collaborative, international community with 900+ data colleagues across seven countries.
- Strong opportunities to grow through global, cross-functional work and end-to-end product ownership.
- A culture that values openness, diversity in expertise and perspective, and co-creation.
#Machine Learning#AI#Data Science#Tech Lead