Machine Learning Engineer

Bordeaux, FranceCDI

About  Automotive Cells Company (ACC)

Join us and be a pioneer for a green transport revolution.
Automotive Cells Company (ACC) is one of Europe’s newest and most exciting high-tech companies. Backed by Saft-Total, Stellantis-Opel and Mercedes-Benz, ACC is set to power the future of the automotive industry by innovating in battery technology.
We aim to produce sustainable, affordable, high-capacity, longer-life batteries as a cleaner alternative to current energy sources. We have created an R&D center and new state-of-the art facility in France (New Aquitaine), and we are building gigafactories in Hauts de France, Germany and Italy.

We need a range of skilled and agile people to bring our vision to life, especially in the areas of industrialization, mechanical design, testing/prototyping and any other function of a new-born company. If you’re looking to take your career further than you imagined, if you’re passionate about creating cleaner transport, we’d like to hear from you.

Our core Values are : Pioneering Spirit, Fast & Agile, Excellence, Greener & Cleaner !

We are also very proud of our 2023 CSR Report :

Accelerating sustainable mobility for all.

Job description

Are you passionate about data science AND software engineering?

Do you enjoy bringing machine learning models to life, putting them in production, and witnessing their impact for the company?

As a Machine Learning Engineer at ACC, you will be tasked with carrying out product developments involving data science, all in a strong spirit of collaboration with other data scientists and stakeholders. You will be part of a data team composed of several data profiles (data scientists, data analysts, data engineers, ML engineers, data product managers, business data owners) with a culture where sharing knowledge is centric.

Principal accountabilities :

  • Engage in machine learning projects specifically tailored to the industrial battery manufacturing sector, such as optimizing battery life, improving manufacturing processes, or enhancing product quality.

  • The whole lifecycle of an Machine Learning project, from wrapping up models for apps deployment to functional/operational monitoring (setup features and data drifts alerts, detect outliers, monitor system performance metrics).

  • MLOps implementation as part of CI/CD systems together with the DevOps engineers.

  • Handle upstream and downstream services as you will serve/make requests in real-time and return/receive results in batches or as a stream supporting hybrid on prem and cloud architecture.

  • Mentor teammates, share your expertise, especially with Databricks.


Technical Stack:

  • Languages: Python

  • Databases : PostgreSQL, MinIO/S3, Neo4J

  • Cloud ML Platform : Azure

  • Librairies : Pandas, PyTorch, OpenCV, Tensorflow, Scikitlearn, SQLAlchemy

  • DevOps : Gitlab, AzureDevOps, Airflow, PyTest, Docker, Terraform, Kubernetes

  • MLOps : MLFlow, Databricks, Evidently

  • AI Working environment: Pycharm “PRO” with AI assistant, VSCode

Experience :

  • More than 3 years


  • Master's degree or PhD in Computer Science, Engineering, or related technical field.

  • Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch), deep learning, computer vision, and/or natural language processing. Experience in industrializing jobs (batch or stream), software evolution, and maintenance. Experience working in a cloud computing environment (AWS, GCP or Azure).

You know how to deploy algorithms in production autonomously following a CI/CD. Proven experience of ML application deployment and ML life cycle management in an industrial production environment is a nice-to-have. So as experience with hybrid cloud/on-premise, IoT.

Key Behaviours :

  • we value critical thinking,

  • excellent communication skills,

  • ability to collaborate across multi-disciplinary teams, and a strong capability for problem-solving.

You enjoy sharing your knowledge and you act as a mentor for the other members of the team.

Why join us?
Our Advantages and Perks: new premises, parking spaces reserved for carpoolers, possibility of recharging your electric car on reserved spaces in our parking lot.

Other perks and advantages include : Company restaurant, meal and also vegetables/fruits baskets delivery service. Janitorial services, telecommuting, complementary retirement plan (subject to a salary threshold), additionnal & seniority leaves, well-being workshops, osteopathy sessions.

You will also benefit from access to our Sports & Culture association, conferences, and also sports, holidays and culture subsidy.

Our process usually involves 3 interviews: 2 technical and one HR.

Details about the job
Bordeaux, France
2 days per week
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