🛠 Tech Stack

💼 About This Role

You'll lead the deployment of ML models and engineering surrogates into customer production environments, working closely with data scientists and simulation engineers. Your core impact is turning R&D outputs into reusable libraries and tools that drive product direction. You'll also mentor engineers and travel to customer sites globally.

🎯 What You'll Do

• Manage ML model deployment and engineering surrogate pipelines.
• Communicate trade-offs to senior stakeholders and steer roadmaps.
• Lead scoping and architecture design for data/ML systems.
• Mentor engineers and data scientists with technical direction.

📋 Requirements

• 3+ years industry experience post-Masters or PhD in commercial ML.
• Experience shipping ML systems end-to-end and at scale.
• Proficiency with Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow.
• Experience with 3D point-cloud and mesh data manipulation.