Overview
On Site
140k - 180k
Full Time
Skills
Adaptability
Machine Learning Operations (ML Ops)
Bridging
Machine Learning (ML)
Docker
Kubernetes
C++
Python
Continuous Integration
Continuous Delivery
Training
Robotics
Health Insurance
SAP BASIS
Job Details
As a cutting-edge defense technology company developing advanced robotics designed for next-generation defense, autonomy, and mission support. Our systems operate in complex, high-stakes environments where reliability, adaptability, and intelligence are critical.
Where robotics meets machine learning, we are looking for an experienced MLOps Engineer to help scale, optimize, and automate our core ML infrastructure. You will play a critical role in building robust ML pipelines that power intelligent robotic systems-bridging development, deployment, and high-performance operation in the real world.
Location
This position is fully onsite 5x a week in Scottsdale, Az
Required Skills & Experience:
Desired Skills & Experience:
Compensation:
Annual performance based bonus
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Where robotics meets machine learning, we are looking for an experienced MLOps Engineer to help scale, optimize, and automate our core ML infrastructure. You will play a critical role in building robust ML pipelines that power intelligent robotic systems-bridging development, deployment, and high-performance operation in the real world.
Location
This position is fully onsite 5x a week in Scottsdale, Az
Required Skills & Experience:
- ML pipelines
- Docker/Kubernetes
- C++ & Python
Desired Skills & Experience:
- Background in CI/CD pipeline building
- Experience model training
- Bachelor's in Robotics or other related fields
Compensation:
Annual performance based bonus
You will receive the following benefits:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
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.