Will you join us in shaping the future of intelligent mobility?
Become part of our VALEO team and revolutionize the experience of autonomous and connected driving.
We are looking for YOU as a Machine Learning Engineer (Research and Funding Projects) (m/f/d) for our location in [City].
What challenges await you:
* You will interact with various internal customers at Valeo to support and make decisions on different problems in the field of machine learning.
* You will develop pragmatic approaches to solve complex business problems using visualization, forecasting models, machine learning, or other statistical methods.
* You will develop applications for machine learning and related software environments (GUI, data streaming, Docker, databases, etc.) in Python or other programming languages.
* You will support the entire lifecycle of ML applications, from initial idea to successful prototypes and go-live.
* You will collaborate with various groups within Valeo Switch and Sensors GmbH, such as production, logistics, quality, and industrial engineering.
Are you ready for this?
* Master's degree in Computer Science, Mathematics, or Electrical Engineering
* Knowledge of programming (Python and C++)
* Experience in data processing, cleaning, and preprocessing
* Several years of experience in machine learning or big data environments
* Experience with Google Cloud Platform and AWS
* Good understanding of statistics fundamentals and data science principles
* Solid understanding and practical application of machine learning (ML) and deep neural networks
* Knowledge of various generative models, especially Generative Adversarial Networks
* Teamwork skills
* Fluent English skills
Why Valeo?
* We believe that great technologies stem from passion.
* Compensation package: Performance-based salary components and company pension scheme (subsidy).
* Career development: Opportunities for personal and professional growth worldwide with room for your own ideas.
* Benefits: Subsidies for sports, health, retirement, canteen, JobRad, regular employee events, and social support for a family-friendly environment.
* Flexibility: Work models that harmonize your professional and private life.
* Work environment: Flat hierarchies and modern working methods enable an innovative workplace.
* Future: Together, we work on the mobility trends of tomorrow.
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