Remote MLOps Engineer: Azure & Edge Inference

AgileEngine, LLC.; Jersey City (NJ); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking an experienced MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure. You will handle real-time image streams from thousands of edge cameras and own end-to-end deployment pipelines.

The role requires 3+ years in MLOps/DevOps, a CS/Software Eng degree, and willingness to relocate to Dallas with 3 days/week office attendance. Join a people-first culture with growth opportunities and hybrid work options.

Qualifications

• We expect 3+ years in MLOps, DevOps, Data Engineering, ML, or Software Eng.
• Degree in CS/Software Eng or related discipline or equivalent experience.
• Based in or willing to relocate to Dallas, with 3 days/week office attendance.

Responsibilities

• Lead deployment and monitoring of CV models in production on Azure.
• Optimize GPU compute and reduce infra costs for real-time streams.
• Own end-to-end CI/CD pipelines for ML deployments.
• Build robust ingestion and inference pipelines using Azure stack.
• Ensure model versioning, drift detection, and telemetry in production.
• Collaborate with data scientists to translate experiments into production.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Cloud Azure

Azure AKS

Docker

Kubernetes

CI/CD pipelines

AI/ML fundamentals

Education

Degree in Computer Science or Software Engineering

Tools

Triton Inference Server

TorchServe

KServe

Azure ML endpoints

Azure Data Factory

AKS

Docker

Kubernetes

Job description

AgileEngine, LLC. is seeking an experienced MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure. You will handle real-time image streams from thousands of edge cameras and own end-to-end deployment pipelines.

The role requires 3+ years in MLOps/DevOps, a CS/Software Eng degree, and willingness to relocate to Dallas with 3 days/week office attendance. Join a people-first culture with growth opportunities and hybrid work options.