MLOps Engineer — Computer Vision, Azure (Hybrid)

Job overview

The MLOps Engineer role is hybrid, with the posting requiring candidates to be based in Dallas, TX, or open to relocating there and to attend the office three days per week. Compensation is not specified. The role supports production deployment of computer vision models processing real-time image streams from edge cameras.

What you'll do

• Deploy, scale, and monitor computer vision models in production on Azure. Optimize GPU efficiency and infrastructure costs
• own the transition from experimentation to production
• build and maintain image ingestion and inference pipelines
• manage cloud inference environments and support specified edge GPU use cases
• implement monitoring, dashboards, and drift detection
• manage experiment tracking and model versioning
• and collaborate with data scientists and AI researchers.

What we're looking for

Skills & competencies

mlops engineer

computer vision

azure

aks

gpu optimization

model deployment

inference pipelines

ci/cd

docker

kubernetes

dallas tx

hybrid

Work arrangement

• Weekend coverage required

Benefits & perks

• Mentorship, TechTalks, personalized growth roadmaps, education, fitness and team activity budgets, and flexible schedule with remote and office options.

Why this role

Requires 3+ years of relevant professional experience, production computer-vision exposure, Azure and AKS experience, and authorization to work for any US employer; sponsorship is unavailable. Flexible schedule with remote and office options is listed.

About the employer

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