Jobs in the United States

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Added 18 mins ago
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Software Systems Engineer - GitHub Enterprise
HP
Vancouver
- $105,050 to $161,800 USD / year
…standardized tooling, CI/CD pipelines, and production-grade Kubernetes infrastructure. You’ll work at the intersection of developer experience, platform engineering, and AI-driven…
Added 54 mins ago
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Senior Backend Software Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $400,000 USD / year
- Proficiency in Go, or the ability and willingness to ramp up quickly; experience with Kubernetes and GCP is relevant.
Added 1 hour ago
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Core Java - Advanced
BC Forward
Westerville, OH
- $60 to $64 USD / hour
Added 1 hour ago
BF
Backend Modernization Engineer
BC Forward
Cincinnati, OH
- $70 to $72 USD / hour
Added 1 hour ago
TT
Software Engineer, C++ Systems
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $325,000 USD / year
- Knowledge of compilers, networking protocols, kernels, Kubernetes, infrastructure, or distributed systems is valuable.
Added 1 hour ago
Software Engineer (Multiple openings) in Irving, TX.
U.S. Bank National Association
Irving, TX
U.S. Bank is seeking a full-time Software Engineer (Multiple openings) in Irving, TX.
Added 1 hour ago
Software Engineer- Infrastructure
Anduril Industries
Broomfield, CO
We are looking to hire an Infrastructure / DevOps Engineer to join our growing Battlespace Awareness team. This role owns the CI/CD and integration test infrastructure that keeps our…
Added 1 hour ago
Senior Software Engineer- Infrastructure
Anduril Industries
Waltham, MA · Broomfield, CO
We are looking to hire an Infrastructure / DevOps Engineer to join our growing Battlespace Awareness team. This role owns the CI/CD and integration test infrastructure that keeps our…
Added 2 hours ago
Wireless and Edge AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
We're seeking an AI/ML Engineer to join a team building a converged platform that runs real-time wireless signal processing and AI inference on the same GPU-accelerated hardware. You will…
Added 2 hours ago
AWS Cloud Systems Engineer
Systems Engineering Solutions Corporation
Hanscom Air Force Base, MA
This role supports the U.S. Air Force Cloud One Architecture and Common Shared Services contract and currently has an opening for an AWS Cloud Systems Engineer.
Added 2 hours ago
AWS Cloud Systems Engineer
Systems Engineering Solutions Corporation
Boston, MA
This role supports the U.S. Air Force Cloud One Architecture and Common Shared Services contract and currently has an opening for an AWS Cloud Systems Engineer.
Added 2 hours ago
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DevSecOps Engineer (Kubernetes, CI/CD)
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
Support the workloads that run on Docker and Kubernetes, and run down faults in infrastructure, networking, deployments, and security.
Added 2 hours ago
SD
1792 - Software Engineer
Sigma Defense
Norfolk, VA
- $150,000 to $170,000 USD / year
Sigma Defense is seeking a Software Engineer to join our team in Norfolk, VA. The hired candidate will support engineering, development, integration, and modernization activities. This…
Added 2 hours ago
TT
Software Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $230,000 USD / year
- Proficiency in Go or Node.js and experience with Docker, Kubernetes, Terraform, AWS, PostgreSQL, REST APIs, and gRPC.
Added 3 hours ago
Senior Network Engineer
Brunel
CA
Brunel has partnered with SB Energy to hire an Senior Network Engineer to support the development and execution of large-scale power generation and data center infrastructure projects…
Added 3 hours ago
TT
Senior Platform Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $220,000 USD / year
- Familiarity with Docker, Kubernetes, Terraform, GitOps, Python or Go, PostgreSQL, vector databases, S3 or similar object storage, Kafka, ArgoCD, Helm, and distributed SQL databases.
Added 3 hours ago
Senior Staff Data Platform Software Engineer
ServiceNow
San Diego, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
As a CBRE Principal Systems Engineer - Cloud & AI Engineering, you will serve as one of the most senior technical individual contributors within Cloud Platform Services. You will lead the…
Added 4 hours ago
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Principal Storage Engineer
AT&T
Plano, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 4 hours ago
A
Principal Storage Engineer
AT&T
Dallas, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 4 hours ago
Senior Solution Architect, Networking Solutions Labs
NVIDIA Corporation
North District, IL
5+ years of field experience as a hands-on Solution Engineer, Solution Architect, or Senior DevOps.
Added 4 hours ago
Senior AI Security Researcher
NVIDIA Corporation
South District, IL · North District, IL
Knowledge of MLOps technologies such as Docker and Kubernetes.
Added 4 hours ago
Technical Lead, SWE
Kastle
San Francisco, CA
- Run reliable systems at scale. Deploy, operate, and scale resilient services on Kubernetes and distributed subsystems, with the observability and on-call practices banks expect.
Added 4 hours ago
Senior Site Reliability Engineering - Storage
NVIDIA Corporation
North District, IL
We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power…
Added 4 hours ago
Senior Cybersecurity AI Solutions Engineer
NVIDIA Corporation
North District, IL
…the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking…

AgileEngine

MLOps Engineer ID72409

Miami, FL, 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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