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, a…
Skills: MLOps, DevOps, Data Engineering, Machine Learning, Software Engineering
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, a…
Skills: MLOps, DevOps, Data Engineering, Machine Learning, Software Engineering
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, a…
Skills: MLOps, DevOps, Data Engineering, Machine Learning, Software Engineering
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The MLOps Engineer will own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment. They will build and maintain infrastructure, automation, and CI/CD workflows while implementing robust monitoring and drift detection systems.
Requirements
Candidates must have 3+ years of professional experience in MLOps, DevOps, or related fields and possess a degree in Computer Science or a related discipline. Strong hands-on experience with containerization, cloud environments, and GPU compute management is required, along with the ability to work onsite in Dallas, TX.
Full 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 a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale. You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production-ready solutions.
WHAT YOU WILL DO
- Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment;
- Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;
- Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability;
- Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production;
- Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions;
- Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective.
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);
- Engineers located in the US must reside in Dallas, TX, and be willing to work onsite;
- Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring;
We turn ideas into software that people love. Solutions that drive
business growth. Dedicated engineering & design teams
Industry
Software Development
Company size
1,001-5,000 employees
Founded
2010
Headquarters
Boca Raton, Florida
LinkedIn followers
59,498
AgileEngine is a digital consultancy offering top-1% tech talent across 15+ countries. We’ve helped 300+ clients in 17+ industries — from VC-backed startups to Fortune 500 brands — build software that solves real-world problems and drives measurable impact. Our clients achieve up to 3x higher ROI and 3x faster time-to-hire, with some partnerships spanning 10+ years.
Work with AgileEngine your way. Our flexible engagement models include staff augmentation and end-to-end product delivery, depending on your needs — ensuring faster scaling, seamless collaboration, and AI-enhanced productivity.
What we offer:
• Custom software development – scalable web, mobile, and backend solutions.
• AI & data solutions – GenAI, ML, and analytics for faster, smarter decisions.
• Design solutions – UX/UI consultancy and product design that wows users.
• Quality solutions – QA automation and testing for flawless delivery.
Our impact speaks for itself. AgileEngine has been listed on the Inc. 5000 for nine consecutive years, named among the Top 100 Software Development Companies of 2025 by Techreviewer, and recognized by Clutch as a Top Machine Learning Company.
Ready to build something exceptional? Schedule a free discovery call with our team!
Offices: Boca Raton, Florida, US · Greater São Paulo, BR · Ciudad de México, 00-16, MX · Kyiv, 01000, UA · Kharkiv, 61000, UA
Based on 6747 listings with disclosed salaries, most engineering jobs in Texas pay between $83k–$202k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Texas right now?
There are currently 28,666 open engineering positions in Texas listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Texas?
Companies currently hiring include Amazon, SpaceX, Applied Materials, Celestica, Primoris Services Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Texas?
Yes — 5008 of the 28666 open engineering positions offer remote or hybrid work (1616 remote, 3392 hybrid).
How do I apply for Engineering jobs in Texas?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.