Robotics MLOps Engineer - Edge AI Deployment (Hybrid)

FieldAI; Irvine (CA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Flexible work options

Diverse and inclusive environment

Job summary

A technology company in Irvine is seeking an MLOps Engineer to design and maintain machine learning infrastructure for robotics applications. You will support the lifecycle of ML systems through close collaboration with cross-functional teams, focusing on infrastructure for efficient ML workflows. Ideal candidates have 3-7 years of MLOps experience and strong programming skills in Python. Competitive compensation and flexibility for remote work are offered.

Qualifications

• 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.
• Hands-on experience with cloud and cloud-native tools.
• Solid understanding of Linux systems and distributed computing environments.

Responsibilities

• Design and maintain infrastructure for ML systems in robotics applications.
• Collaborate with engineering teams for model serving infrastructure.
• Monitor model performance and system reliability.

Skills

Python

MLOps

Cloud tools (AWS, Kubernetes)

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS (SageMaker, S3)

Kubernetes

Linux

Job description

A technology company in Irvine is seeking an MLOps Engineer to design and maintain machine learning infrastructure for robotics applications. You will support the lifecycle of ML systems through close collaboration with cross-functional teams, focusing on infrastructure for efficient ML workflows. Ideal candidates have 3-7 years of MLOps experience and strong programming skills in Python. Competitive compensation and flexibility for remote work are offered.