MLOps Engineer | Phoenix, AZ

We are searching for an experienced MLOps engineer to join a cutting-edge robotics firm in Phoenix, AZ. In this role you will have a hand in designing and creating the MLOps infrastructure from a very early stage for novel applications in robotics and robotic navigation.
To be considered for this position you must have prior experience building robust, scalable ML pipelines, CI/CD pipelines, and data management systems, be familiar with model versioning, monitoring, and testing, and A/B testing. Prior experience in a startup, the robotics field, or working on computer perception/vision systems (cameras, LiDAR), etc is preferred as well.
This is an on-site position in Phoenix, AZ. Required Skills & Experience

• 3+ Years of experience in Machine Learning, DevOps, or MLOps
• Experience Building ML Pipelines
  • Docker
  • Kubernetes
  • Kubeflow/MLflow
• Programming
  • C++
  • Python
• Any model Serving Framework (ex. TensorRT, ONNX Runtime, TorchServe)
• Monitoring & logging (ex. (Prometheus, Grafana, ELK stack)
• Bachelors degree in relevant field (Data Science, Computer science, etc)

Desired Skills & Experience

• Masters degree in relevant field

What You Will Be Doing Daily Responsibilities

• 80% Hands On
• 20% Team Collaboration

The Offer You will receive the following benefits:

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.