Robotics MLOps Engineer — Edge Deployment & GPU Infra

FieldAI; Irvine (CA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Hybrid or remote work options

Opportunity to work with leading experts in robotics

Job summary

A leading robotics technology company in Irvine, California, is seeking an MLOps Engineer to design and maintain machine learning infrastructure for robotic applications. The role involves collaborating with engineers to ensure reliable deployment and monitoring of ML models. Ideal candidates should possess a Bachelor's degree in Computer Science and experience in MLOps and cloud services. This position offers the potential for hybrid or remote work, competitive compensation, and the chance to work on cutting-edge robotics challenges.

Qualifications

• 3-7 years of experience in MLOps or related engineering roles.
• Experience building and maintaining machine learning pipelines.
• Hands-on experience with cloud-native tools.

Responsibilities

• Design and maintain GPU-based infrastructure for ML pipelines.
• Collaborate to implement model serving infrastructure.
• Monitor model performance and system reliability.

Skills

Python

MLOps experience

Cloud services (AWS)

Linux systems

Kubernetes

Problem-solving

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS

Kubernetes

GPU computing

Job description

A leading robotics technology company in Irvine, California, is seeking an MLOps Engineer to design and maintain machine learning infrastructure for robotic applications. The role involves collaborating with engineers to ensure reliable deployment and monitoring of ML models. Ideal candidates should possess a Bachelor's degree in Computer Science and experience in MLOps and cloud services. This position offers the potential for hybrid or remote work, competitive compensation, and the chance to work on cutting-edge robotics challenges.