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.
Posted By:
Connor Ellis