About this role
Lead the deployment of ML models and engineering surrogates into customer production environments across various advanced industries. Collaborate with data scientists and customers to design scalable ML systems, training pipelines, and APIs while mentoring junior engineers.
Requires at least 3 years of industry experience post-Masters or PhD in a commercial environment. Must have a proven track record of shipping end-to-end ML systems and experience manipulating 3D geometry data.
What they're looking for
Machine LearningPythonPyTorchPandasFastAPIScipyKubeflow3D Point-Cloud Data
Frequently asked questions
What does a Machine Learning Engineer at PhysicsX do?
Lead the deployment of ML models and engineering surrogates into customer production environments across various advanced industries. Collaborate with data scientists and customers to design scalable ML systems, training pipelines, and APIs while mentoring junior engineers. Requires at least 3 years…
What skills does this Machine Learning Engineer role need?
Key skills for this role include Machine Learning, Python, PyTorch, Pandas, FastAPI, Scipy.
How much does a Machine Learning Engineer at PhysicsX pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer role?
You can apply directly on PhysicsX's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.