MLOps Engineer: Azure + Edge CV Inference

AgileEngine, LLC.; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. in Dallas, TX, is seeking an experienced MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.

The role requires hands-on work with Triton/TorchServe/KServe/Azure ML endpoints and a strong cloud foundation. You will own end-to-end pipelines, collaborate with data scientists, optimize GPU usage, and ensure robust monitoring and cost efficiency.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Engineering.
• Degree in Computer Science, Software Engineering, or related discipline.

Responsibilities

• Lead GPU compute efficiency and infrastructure cost-reduction strategies by optimizing models to maximize camera throughput per GPU.
• Own the end-to-end lifecycle transition from AI/ML experimentation to production deployment.
• Build, maintain, and scale robust ingestion and inference pipelines for high-volume image streams using Azure Data Factory, cloud storage, and automated CI/CD workflows.
• Architect and manage cloud-based model inference environments, with secondary support for edge GPU deployment across specific edge use cases.
• Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability.
• Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production.
• Cross-Functional Collaboration: Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Bachelor's degree in Computer Science / Software Engineering / related discipline

Tools

Docker

Kubernetes

Azure AKS

Azure DevOps

Azure data stack

Job description

AgileEngine, LLC. in Dallas, TX, is seeking an experienced MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.

The role requires hands-on work with Triton/TorchServe/KServe/Azure ML endpoints and a strong cloud foundation. You will own end-to-end pipelines, collaborate with data scientists, optimize GPU usage, and ensure robust monitoring and cost efficiency.