MLOps Engineer, Computer Vision and GPU

Job overview

The MLOps Engineer, Computer Vision and GPU role is listed as onsite in West Palm Beach, FL; the description says U.S.-located engineers must reside in Dallas, TX and work onsite. Compensation is not specified. AgileEngine creates software for enterprise and startup clients across multiple industries. The engineer moves computer vision models from experimentation into reliable production by building reproducible deployment pipelines, monitoring, and lifecycle controls. The work spans cloud and edge environments and includes GPU resource optimization and collaboration with data scientists and AI researchers.

What you'll do

• Build and maintain infrastructure, automation, and CI/CD workflows for model deployment
• support image and video data ingestion, dataset versioning, and annotation workflows
• implement production monitoring, dashboards, and drift detection
• manage experiment tracking and model versioning
• optimize cloud and GPU resources and model performance
• deploy computer vision models to cloud and edge GPU environments
• collaborate with data scientists and AI researchers.

What we're looking for

Skills & competencies

mlops engineer

computer vision

gpu engineering

machine learning operations

docker

kubernetes

ci/cd

model monitoring

agileengine

dallas tx onsite

Work arrangement

• Weekend coverage required

Benefits & perks

• Mentorship, TechTalks, personalized growth roadmaps, education, fitness and team activity budgets, and flexible scheduling options that include working from home and the office.

Why this role

The role is specifically focused on computer vision and GPU engineering; the posting states that visa sponsorship is unavailable and U.S.-located engineers must reside in Dallas, TX and work onsite.

About the employer

AgileEngine is hiring for this role. Industry: Engineering Services. Sector: 54.