Jobs in the United States

25+ jobs

Save this search

Added just now
S
Senior Full Stack Engineer, AI Products - Stout Strategy
Stout
Denver, CO
- $87,000 to $195,000 USD / year
As a Senior Full-Stack Engineer in our Applied Innovation Group, you get the best of both worlds: working at the frontier of AI and knowledge work, inside a firm with the clients, expertise…
Added 21 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Nashville, TN
…banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and…
Added 22 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Nashville, TN
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 38 mins ago
AI Data Engineer – AI Training Data
ManpowerGroup
Redmond, WA
Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams.…
Added 38 mins ago
Research Scientist Intern, AI Core Machine Learning (PhD)
Meta
Seattle, WA · Bellevue, WA
…intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture,…
Added 38 mins ago
Applied Scientist, Neuron ARG
Amazon
Seattle, WA
In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement…
Added 38 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Olympia, WA
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 52 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Springfield, IL
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Topeka, KS
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 1 hour ago
Technical Product Support (TPS) Engineer III – (E3)
Applied Materials, Inc
Santa Clara, CA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 1 hour ago
Process Engineer
Applied Materials, Inc
Santa Clara, CA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 1 hour ago
Process Engineer
Applied Materials, Inc
Santa Clara, CA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 1 hour ago
Electrical Engineer
Applied Materials, Inc
Santa Clara, CA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Salem, OR
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 1 hour ago
Agent Product Manager
Kelly Services
Manhattan, NY
As a Senior Agent PM, you will leverage applied AI in your work to drive core product experiences, ranging from document extraction, optimizers, and MCP servers. Your work will meaningfully…
Added 1 hour ago
Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
EY
New York, NY
Forward Deployed Engineer – Applied AI - Senior Manager - Financial Services
Added 1 hour ago
Applied AI Engineer, Internal Tooling
Automattic, Inc.
NEW YORK, NY
Added 1 hour ago
CTO, Anthropic Practice
EPAM Systems
New York, NY
Background at a major consultancy, hyperscaler, or AI lab in a field CTO, applied AI, or solutions engineering role
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Albany, NY
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 2 hours ago
Biomedical Engineer
Xperteez Technology
Remote, United States
If you are a biomedical engineer who thrives on technical precision, applied problem-solving, and rigorous engineering reasoning in health and life-science contexts, this is a unique…
Added 2 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Columbia, SC
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 2 hours ago
Senior Data Engineer
Janus Henderson Investors
Denver, CO
As a Senior Data Engineer, you will own the technical direction for a subsystem or cross-product concern within the Janus Henderson Data Platform. You will act as a go-to engineer for…
Added 2 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Denver, CO
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 2 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Charleston, WV
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 2 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Indianapolis, IN
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…

AgileEngine

MLOps Engineer ID72409

Atlanta, GA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Posting language: English
Posted: Oct 30, 2026

Original job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.

MUST HAVES

You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).
Must be based in Dallas, TX, or open to relocating to Dallas. Office attendance: 3 days/week.
MLOps Core: Production model serving (Triton Inference Server, TorchServe, KServe, or Azure ML endpoints) behind REST/gRPC APIs, with end-to-end backend pipeline ownership. Exposure to tracking, model registry/versioning, drift detection, and production telemetry/monitoring.
Computer Vision: Working exposure to CV/image data in production.
Infrastructure & Cloud: Strong practical experience navigating cloud environments, strictly focused on Azure, specifically using AKS for deployment, Azure DevOps, and the Azure data stack, alongside managing/provisioning GPU compute resources.
DevOps & Automation: Deep understanding of containerization (e.g., Docker and Kubernetes) and designing robust CI/CD pipelines for automated deployments.
AI/ML Foundation: A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers.
Upper-intermediate English level.

WHAT YOU WILL DO

Resource & Cost Optimization: Lead GPU compute efficiency and infrastructure cost-reduction strategies by optimizing models to maximize camera throughput per GPU. Apply optimization techniques including quantization (FP16/INT8), pruning, TensorRT/ONNX conversion, dynamic batching, and GPU autoscaling on AKS.
End-to-End Deployment: Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment.
Infrastructure & Pipelines: 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.
Edge & Cloud Deployment: Architect and manage large-scale cloud-based model inference environments, with secondary support for edge GPU deployment across specific edge use cases.
System Stability & Monitoring: Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability.
Model Lifecycle Management: 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.

PERKS AND BENEFITS

Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Flexible schedule with remote and office options.

Apply About employer

More about this job

Skills

DevOps
Data engineering
Machine learning
Computer science
ML
Microsoft Azure
Docker
Kubernetes
CI/CD
Troubleshoot
Microsoft Azure Data Factory
Collaboration

Report this job