AI Machine Learning Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+5 more
Requirements
We are seeking a qualified professional to lead the design, development, and deployment of advanced AI and machine learning solutions supporting automotive R&D initiatives. The role involves owning end-to-end AI solutions, including data ingestion, feature engineering, training, deployment, and monitoring, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins. Responsibilities include designing AI surrogate models using Graph Convolutional Neural Networks, deploying scalable cloud-based AI systems on AWS/Azure, and implementing MLOps best practices such as versioning, drift detection, and CI/CD. The candidate will mentor engineers, establish design standards, and collaborate with cross-functional teams in CAE, CAD, manufacturing, and data platforms. Key qualifications include a Bachelor’s or Master’s in relevant fields, 8+ years of AI/ML experience, proficiency in Python, deep expertise in ML frameworks, and experience deploying AI solutions on cloud platforms. Preferred skills include experience with graph neural networks, CAE/physics-informed ML, and automotive design knowledge. The role offers growth opportunities, comprehensive benefits, and a collaborative work environment.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Industries Outside of AI Are Hiring The Most AI Experts?
How software is steering vehicle technology
MLOps And AI Driven Development
Transforming Software Development: The Role of AI and Developer Tools