Staff ML Engineer — Real-Time AI/ML Architect

Xometry

Lexington (KY)

Hybrid

USD 140,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

401(k) match
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Paid time off
Maternity & bonding leave

Job summary

Xometry, a leader in on-demand manufacturing, is seeking a Staff Machine Learning Engineer in Lexington, KY. You will own end-to-end ML initiatives, architect high-performance AI/ML layers, and drive real-time pipelines that connect our platform to partner ecosystems.

You will collaborate with data scientists, engineers, and product managers to deliver high-impact ML capabilities at scale. You will lead with technical depth, advance MLOps practices, and contribute to a culture of quality and

Qualifications

  • Bachelor's degree in STEM and 6–8 years of ML engineering in production.
  • Experience deploying real-time ML products at scale in cloud environments (AWS preferred).
  • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
  • Experience with MLOps: monitoring, drift detection, retraining and redeployment pipelines.
  • Proficiency with CI/CD pipelines and IaC (Terraform).

Responsibilities

  • Lead end-to-end lifecycle from requirements to release for complex ML initiatives.
  • Architect and build real-time AI/ML integration layers with partner systems.
  • Develop cloud-based production systems powering real-time endpoints and MLOps.
  • Collaborate with data scientists, engineers, and product managers to deliver scalable ML solutions.
  • Mentor engineers and drive best practices in testing, security, and observability.

Skills

ML engineering
Python
TensorFlow/PyTorch
MLOps
CI/CD
Kubernetes
AWS
Data engineering

Education

Bachelor's degree in STEM

Tools

Kubernetes
Terraform
GitHub Actions
AWS

Job description

Xometry, a leader in on-demand manufacturing, is seeking a Staff Machine Learning Engineer in Lexington, KY. You will own end-to-end ML initiatives, architect high-performance AI/ML layers, and drive real-time pipelines that connect our platform to partner ecosystems.

You will collaborate with data scientists, engineers, and product managers to deliver high-impact ML capabilities at scale. You will lead with technical depth, advance MLOps practices, and contribute to a culture of quality and

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