Must have

• AI

• Python

• scikit-learn

• TensorFlow

• Keras

• PyTorch

• Data pipelines

• Airflow

• MLflow

• Databricks

• Cloud platform

• AWS

• Docker

• Git

• SQL

• Degree

• English

Nice to have

• C++

• Java

• Web development

Requirements description

• Minimum 3 years of hands-on experience delivering production-level ML and AI solutions.
• Proficiency in Python and frameworks such as scikit-learn, TensorFlow/Keras, or PyTorch.
• Experience building data pipelines and evaluation workflows using tools such as Airflow, MLflow, or Databricks.
• Solid understanding of cloud platforms, especially AWS, and containerization using Docker.
• Familiarity with standard software development tools (Git, SQL, command-line tools).
• Degree in Computer Science, Engineering, or a related technical discipline.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with C++, Java, or web development.
• Background in generative AI and large language models.

Offer description

Job Title: Principal Machine Learning Engineer

We are looking for a Principal Machine Learning Engineer with a strong focus on delivering production-ready ML and AI solutions. The ideal candidate will have experience in deploying scalable machine learning systems, working with cloud platforms, and collaborating with cross-functional teams in a product-focused environment.

Your responsibilities

1. Design, implement, and maintain scalable ML and AI solutions for automotive applications.
2. Collaborate with cross-functional teams to gather requirements and deliver data-driven features.
3. Work with business units to support the integration of AI-based functionalities into products.
4. Communicate technical concepts and models clearly to both technical and non-technical stakeholders.
5. Contribute to the development of innovative in-cabin experiences through ML and AI technologies.