Tech Stack
Machine LearningDevOps
Job Description, Responsibilities & Requirements
About the Position
We are seeking a Middle/Senior MLOps Engineer to manage the complete lifecycle transition from AI/ML experimentation to reliable production deployment in Dallas, TX.
Responsibilities
- 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.
Requirements
- 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;
- Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources;
- Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments;
- A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers;
- Upper-intermediate English level.
We Offer
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
About the Company
AgileEngine is ranked by Inc. 5000 among America's fastest-growing private companies. Join our team and be part of a dynamic and innovative environment.