🛠 Tech Stack

💼 About This Role

You'll lead the deployment of ML models for engineering simulations at PhysicsX, collaborating with customers and internal teams. Your work will directly accelerate hardware innovation across aerospace, automotive, and energy industries. You'll own end-to-end ML systems and influence technical roadmaps with evidence-driven decisions.

🎯 What You'll Do

• Deploy ML models and engineering surrogates to customer production environments.
• Communicate results to senior stakeholders and influence product direction.
• Lead scoping and architecture design for data/ML systems.
• Mentor engineers and data scientists; provide technical direction.

📋 Requirements

• 3+ years industry experience (post Masters or PhD) in commercial ML.
• End-to-end ML system design and shipping at scale.
• Proficiency in Python, PyTorch, and related ML libraries.
• Experience with 3D point-cloud or mesh data and geometry-aware modelling.