Machine Learning Engineer

Responsibilities:

• Develop, implement, and maintain ML&AI solutions with a focus on robust and scalable product integration for automotive applications.
• Collaborate with cross-functional teams to understand their requirements and provide data-driven solutions.
• Work closely with business units to drive the development of AI-based features across our product portfolio.
• Clearly communicate complex concepts and models and work collaboratively with diverse teams.
• Play a key role in redefining the in-cabin experience through innovative ML&AI solutions.

Minimum Qualifications:

• 3+ years of hands-on experience in implementing production-level ML & AI solutions
• Proficiency in Python and popular ML & AI frameworks (e.g., scikit-learn, TensorFlow/Keras, PyTorch, etc.)
• Extensive knowledge in building data preparation and evaluation pipelines (e.g., Airflow, MLflow, Databricks, etc.)
• Solid understanding of (AWS) cloud computing with Docker
• Proficiency in classical software development tools (e.g., Git, SQL, command-line tools, etc.)
• Degree in Computer Science, Engineering, or a related technical field
• Excellent communication, presentation, and interpersonal skills
• Good to Have:Experience in C++, Java, or web development
• Experience in the areas of generative AI (in particular large language models)