6 model deployment engineer jobs at 6 companies in Flint, MI
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, Michigan, United States
HybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
5+ YOEBachelor's or Master's in CS/AI or related,5+ years in AI/ML systems,edge/embedded deployment experience,Python and C++ proficiency,LLM and model optimization expertise.
FaureciaEuronext Paris: FRVIA: Designs and produces automotive seats and interior modules.
5+ YOEMaster's or PhD in CS/ML/AI, 5+ years ML experience (7+ preferred), expertise in computer vision, Python, PyTorch/TensorFlow, GPU/CUDA acceleration, production model deployment and ML pipelines; Azure familiarity preferred.
5+ YOEPhD (5+ yrs) or MS (8+ yrs) in CS/Stats/Economics (or related), 6+ yrs ML experience, 4+ yrs GenAI experience, expertise in LLMs, RL, recommendations, causal inference, model deployment, and strong problem-solving and collaboration skills.
Nexteer AutomotiveSEHK: 1316: Global manufacturer of automotive steering and driveline systems.
1+ YOE1+ years related experience; familiarity with AI tools and large language models; working knowledge of Python or TypeScript; experience integrating systems via APIs (Slack, GitHub, Jira); understanding of prompts, embeddings, and deployment/containerization; bachelor's degree in a relevant field.
FORVIAEuronext Paris: FRVIA: Designs and manufactures automotive systems and technologies.
5+ YOEMaster's/PhD in CS/ML/AI, 5+ years ML experience (preferably 7+), strong computer vision and deep learning expertise, production model deployment, Python, PyTorch/TensorFlow, CUDA, ML pipelines, and scalable system design.
FEV North America: Develops and tests propulsion systems and vehicle technologies.
Bachelor's degree in a technical field, strong ML/AI knowledge, proficiency in Python and TensorFlow/PyTorch, experience with data pipelines, model training/validation/deployment, and CI/CD; strong communication skills.