MLOps Engineer - Azure, CV in Production (Remote/Flex)
AgileEngine, LLC.
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Descrizione del lavoro
AgileEngine, LLC. in Atlanta, GA, is seeking an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, handling real-time image streams from thousands of edge cameras.
Candidates should have 3+ years in MLOps/DevOps or related fields, a degree in CS or software engineering, and be based in Dallas or willing to relocate with 3 days/week in the office. The role emphasizes production model serving, Azure AKS deployments, CI/CD pipelines, and collaboration with
Competenze
- 3+ years of professional experience in MLOps/DevOps/ML/DS or software eng.
- Degree in Computer Science, Software Engineering, or related field.
- Must be based in Dallas, TX, or willing to relocate with 3 days/week in office.
- Authorized to work in the US; sponsorship not offered.
Mansioni
- Own GPU compute optimization to maximize camera throughput per GPU.
- Lead end-to-end AI/ML deployment from experimentation to production.
- Build and scale ingestion and inference pipelines using Azure Data Factory and CI/CD.
- Manage edge and cloud deployment for large-scale model inference.
- Implement production monitoring, dashboards, and drift detection.
- Manage experiment tracking and model versioning for reproducibility.
- Collaborate with data scientists to translate experiments into production solutions.
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
AgileEngine, LLC. in Atlanta, GA, is seeking an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, handling real-time image streams from thousands of edge cameras.
Candidates should have 3+ years in MLOps/DevOps or related fields, a degree in CS or software engineering, and be based in Dallas or willing to relocate with 3 days/week in the office. The role emphasizes production model serving, Azure AKS deployments, CI/CD pipelines, and collaboration with
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