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 40+ 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 a Chapter Lead France and this position is located in Lyon. We are looking for several permanent positions in this location.

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 lead 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 design, build, deploy, and operate ML and AI products with strong engineering practices, including CI/CD, monitoring, and robust model and feature management.
You will help ensure long-term performance by monitoring drift and partnering with the business to decide when and how to improve pipelines.
You will also apply NLP and LLM approaches for e.g. classification use cases, while designing solutions that meet security, governance, and regulatory requirements.
As a tech lead you will take leadership and responsibility of an AI product working with a team of Data Scientists, Machine Learning Engineers, and other data professionals.

Who are you?

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

Requirements:

Tech:

• Deep understanding of statistics, probability and machine learning – with a relevant academic degree in a quantitative field, such as mathematics, statistics, engineering, or physics.
• Proven experience managing the full lifecycle of AI and ML software, including, among others, CI/CD, modularized architecture, orchestration, quality assurance, and 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 including infrastructure, data and compute - designing and operating scalable, secure cloud environments for AI products. Experience with microservices architecture and API development is a merit.
• Experience of relevant tools (non-exhaustive):
• CI/CD e.g. Azure Pipelines, Github Actions
• Containerization & orchestration e.g. Docker, Podman, Terraform

Product management:

• Previous experience of managing and owning AI products along with industrialization and commercialization in regulated environments.
Domain experience of vehicle data, diagnostics, telematics, manufacturing, or warranty analytics would be meriting.
• Technical leadership experience, guiding cross-functional teams to design, build, and deliver AI products

Communication and stakeholder management:
• Clear communication skills in English and preferably also in the local language, and the ability to collaborate across cultures and time zones.

What’s in it for you?

We offer a solid package of compensation and benefits, plus you will enjoy:

• 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

Ready for the next move?

If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you.

Curious, for further information about the job reach out to Lilia Boucinha, hiring manager.

We value your data privacy and therefore do not accept applications via mail.

Who we are and what we believe in

We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.

Volvo Group Digital Technology & Operations (DTO)is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.

Joining the new DTO division means being part of a fast-moving digital product-oriented organization where teams truly own what they build from idea to delivery. In DTO, we work in agile, cross-functional teams, mastering the latest technology, and creating outstanding digital experiences that make a real difference for our colleagues and Volvo Group customers around the world. We put people first and build our culture on trust, passion, customer success, change, and performance. If you want to grow, collaborate across functions and entities, and help shape the future of digital products within Volvo Group, DTO is a great place to be.

Machine Learning Engineer / Tech Lead

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