This senior individual contributor role involves leading the design and delivery of complex ML systems that integrate Xometry's platform with partner ecosystems like Solid Edge and Teamcenter
Job Summary
This senior individual contributor role involves leading the design and delivery of complex ML systems that integrate Xometry's platform with partner ecosystems like Solid Edge and Teamcenter.
The successful candidate will own the end-to-end lifecycle of high-performance AI/ML layers, ensuring low-latency signal paths for real-time manufacturability feedback.
You will set engineering standards by implementing robust MLOps, governance, and observability for mission-critical public marketplace integrations.
Matching Summary
This senior individual contributor role involves leading the design and delivery of complex ML systems that integrate Xometry's platform with partner ecosystems like Solid Edge and Teamcenter.
Skills & Requirements
Must-have
6-8 years ML engineering experience
Real-time ML serving architecture
AWS cloud deployment and scaling
Python and TensorFlow or PyTorch
MLOps and model monitoring practices
CI/CD pipelines and Infrastructure as Code
Nice-to-have
Gradient Boosting and Deep Learning expertise
Generative AI framework knowledge
Latency and throughput optimization skills
Cross-functional collaboration abilities
Technical mentorship and leadership
Key Requirements
Bachelor's degree in STEM field
6-8 years of machine learning engineering experience
Proven track record delivering complex ML systems in production