As an AI/ML Platform Engineering Lead, you’ll architect and scale our MLOps infrastructure, enabling secure, reliable, and fast deployment of machine learning models across cloud and air gapped environments
Job Summary
As an AI/ML Platform Engineering Lead, you’ll architect and scale our MLOps infrastructure, enabling secure, reliable, and fast deployment of machine learning models across cloud and air gapped environments.
This is a hands-on leadership role where you’ll mentor engineers, collaborate with hardware teams, and deliver AI solutions that transform semiconductor manufacturing.
You are empowered to make decisions to release product and have a clear path for leadership and technical advancement in a fast-evolving AI domain with a strong and young team to help shape their careers.
Matching Summary
As an AI/ML Platform Engineering Lead, you’ll architect and scale our MLOps infrastructure, enabling secure, reliable, and fast deployment of machine learning models across cloud and air gapped environments.
Salary
$134,800.00 - $229,200.00 Annually
Skills & Requirements
Must-have
MLOps infrastructure
secure, reliable, and fast deployment
CI/CD pipelines for models and data
Python programming skills
ML frameworks (PyTorch, TensorFlow, Keras)
Kubernetes, Docker
Terraform
Nice-to-have
mentor engineers
collaborate with hardware teams
AI solutions that transform manufacturing
observability and governance for model performance
Key Requirements
Doctorate (Academic) Degree and 3 years related work experience
Master's Level Degree and 6 years related work experience
Bachelor's Level Degree and 8 years related work experience
Experience deploying models in secure or disconnected environments
Familiarity with cloud platforms (AWS, Azure, GCP)