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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.