Jobs in the United States

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Added 58 mins ago
Applied AI Engineer
AMCOR FLEXIBLES NORTH AMERICA INC
NEENAH, WI
Added 2 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 3 hours ago
O
Lead Principal Platform Software Engineer
Oracle
United States
- $113,600 to $306,400 USD / year
Partner closely with applied scientists, engineers, product managers, and domain experts to translate ambiguous requirements into scalable technical solutions.
Added 5 hours ago
PMTS, PEX Engineer Quantum
GlobalFoundries
ROUND LAKE, NY
…information, visit www.gf.com. Summary of Role The Design Enablement Engineer, DRC/LVS/PEX is responsible for developing, qualifying, and deploying physical verification and parasitic…
Added 5 hours ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 5 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 5 hours ago
Silicon Photonics Packaging Engineer Coop
NOKIA
NEW YORK, NY
Added 6 hours ago
2027 Earth-Orbit Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
…university in aeronautical/astronautical engineering, physics or applied mathematics, or related disciplines (pursuing or conferred within last 12 months) - 0-1 years of experience in…
Added 6 hours ago
2027 Earth-Orbit Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
…university in aeronautical/astronautical engineering, physics or applied mathematics, or related disciplines (pursuing or conferred within last 12 months) - 0-1 years of experience in…
Added 12 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Pierre, SD
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 12 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Phoenix, AZ
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 13 hours ago
Computer Sciences & Consulting Services Group Leader
Applied Research Associates, Inc.
Vicksburg, MS
This position is based in ARA’s Vicksburg, MS office, located near the U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC).
Added 13 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Jackson, MS
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 14 hours ago
CTO, Anthropic Practice
EPAM Systems
Boston, MA
Background at a major consultancy, hyperscaler, or AI lab in a field CTO, applied AI, or solutions engineering role
Added 14 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Boston, MA
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 15 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Lincoln, NE
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 15 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Honolulu, HI
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 15 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Cheyenne, WY
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 15 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Concord, NH
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 16 hours ago
Senior Software Development Engineer, Appstream
Amazon.com Services LLC
Seattle, WA
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and…
Added 16 hours ago
TT
Senior/Staff Product Engineer, Applied AI and Agents
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join an early-stage team building applied AI products for a staffing marketplace serving industrial and operations-focused businesses. You will connect AI agents to core product workflows…
Added 16 hours ago
TT
Member of Technical Staff, Senior
True Talent Solutions Partners
New York, NY
- $150,000 to $300,000 USD / year
Join an applied AI team building agent-driven systems that reshape how work gets done across a fast-growing financial technology company. You will work directly with internal teams to…
Added 17 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Providence, RI
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 17 hours ago
EG
Knowledge Graph Architect
Eliassen Group
Bismarck, ND
- $100 to $120 USD / hour
…designing and building enterprise knowledge graphs and ontologies applied to modern AI use…
Added 17 hours ago
Developer Relations Engineer
Applied Compute
San Francisco, CA
As a Developer Relations Engineer your focus will be technical content, demos, and distribution. Your work will help developers and researchers discover AC2, understand what they can build,…

AgileEngine

MLOps Engineer ID72409

Texas City, TX, United States

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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.

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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

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