Jobs in the United States

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Added 3 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
We are seeking a highly skilled and experienced Systems Engineer, preferably with experience in food and beverage and life sciences industries.
Added 3 mins ago
Systems Engineer
Grantek Systems Integration
Indianapolis, IN
…design, SCADA design, Network design, Database design, Vision system design, Machine Safety system design, Servo motion control, Information Solution design, MES design, ERP connector…
Added 3 mins ago
Systems Designer
Grantek Systems Integration
Cleveland, OH
…design, SCADA design, Network design, Database design, Vision system design, Machine Safety system design, Servo motion control, Information Solution design, MES design, ERP connector…
Added 3 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
We are seeking a highly skilled and experienced Systems Engineer, preferably with experience in the food and beverage or life sciences industries.
Added 3 mins ago
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Systems Engineer
Grantek Systems Integration
San Jose, CA
- $95,000 to $120,000 USD / year
…design, SCADA design, Network design, Database design, Vision system design, Machine Safety system design, Servo motion control, Information Solution design, MES design, ERP connector…
Added 3 mins ago
CI
Senior Mechanical Engineer, Pyrolysis
Charm Industrial
Fort Lupton, CO
- $94,822 to $142,234 USD / year
…and throughput goals, the role will leverage mechanical and system expertise to provide troubleshooting support for production machines based on issues observed by our Operations partners.…
Added 6 mins ago
TV
Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $235,000 to $300,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 7 mins ago
S
Software Engineer - Trust & Platform Security
Snowflake
Bellevue, WA
- $160,000 to $230,000 USD / year
We are hiring a Software Engineer for our Trust & Platform Security team. This team is building the next generation of cyber security monitoring for Snowflake customers where discovery,…
Added 7 mins ago
Senior Mechanical Engineer - Maritime
QinetiQ US
Franklin, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
Added 10 mins ago
L6E Software and Technology Validation Engineer
East Peoria, IL
…join the team as an L6E Sr. Software and Technology Validation Engineer! Caterpillar enjoys the strongest reputation in the industry, and, in this critical role, you will help to continue…
Added 10 mins ago
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Principal Embedded Software Engineer
Actalent
Dallas, TX
- $70 to $85 USD / hour
Job Title: Principal Embedded Software EngineerJob DescriptionThe Principal Embedded Software Engineer designs, develops, and integrates embedded software for advanced vehicle control…
Added 12 mins ago
IT Engineer Principal I -Data & Analytics
PSEG
Newark, NJ
Experience supporting machine learning workflows, including feature pipelines or model deployment.
Added 13 mins ago
Software Engineer: Perception (II,III)
Lodestar
Los Angeles, CA
As a Software Engineer II/III - Perception at Lodestar, you’ll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL’s center.
Added 14 mins ago
Senior Director, Software Engineering
Circana
Chicago, IL
Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives.
Added 21 mins ago
Splunk Engineer
SpaceX
Bastrop, TX · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 21 mins ago
Splunk Engineer
SpaceX
Washington, DC · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 21 mins ago
Splunk Engineer
SpaceX
Starbase, TX · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 21 mins ago
Splunk Engineer
SpaceX
Cape Canaveral, FL · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 24 mins ago
AC
Cyber Detection Engineer Subject Matter Expert
Argo Cyber Systems
Arlington, VA
- $140,000 to $160,000 USD / year
Collaborate with analytics developers and data scientists to evaluate advanced analytical methods, including machine learning where operationally appropriate.
Added 31 mins ago
Senior Engineer - Data Engineering
TMS Toyota Motor Sales, USA, Inc. Company
Plano, TX
Ensuring non-functional requirements - security, performance, scalability, and system integrations - are met through effective design and development.
Added 47 mins ago
TV
Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $235,000 to $300,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 1 hour ago
Design Engineer
Actalent
Jackson, MI
…complex machinery for the food and beverage industry. The design engineer leads full lifecycle development from initial concept through 3D modeling, simulation, manufacturing support, and…
Added 1 hour ago
Senior Cyber Security Engineer - Identity and Device Management, & Networking Security
Latitude AI
Dearborn, MI · Palo Alto, CA · Pittsburgh, PA
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems…
Added 1 hour ago
MLOps Engineer ID72409
AgileEngine
Fort Lauderdale, FL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 1 hour ago
MLOps Engineer ID72409
AgileEngine
Boston, MA
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.

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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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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