Production ML Engineer: Build Scalable AI Systems

Talentify; Sarasota (FL); On-site; USD 110,000 - 190,000; Full time

Job summary

Roper Technologies is seeking a Machine Learning Engineer to design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role focuses on creating scalable ML products and intelligent agents that drive business impact, with potential leadership on architecture and strategy depending on experience.

We value hands-on engineers who ship production-grade AI systems.

Qualifications

• 3+ years of software, data science, or ML experience.
• Experience deploying production software systems.
• Strong Python skills; other languages a plus.
• Familiar with ML frameworks: PyTorch, TensorFlow, scikit-learn.
• Experience with cloud platforms AWS/Azure/GCP.
• Strong problem solving and attention to detail.

Responsibilities

• Design, build, and deploy ML models in production.
• Develop components: model inference services, data pipelines.
• Build intelligent agents and AI-driven workflows.
• Contribute to CI/CD and MLOps pipelines.
• Ensure observability and monitoring of AI systems.
• Collaborate with product and infra teams.

Skills

Python

Production systems

ML knowledge

Cloud familiarity

Education

Bachelor's degree in CS or related field

Tools

PyTorch

TensorFlow

scikit-learn

AWS

Azure

GCP

Job description

Roper Technologies is seeking a Machine Learning Engineer to design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role focuses on creating scalable ML products and intelligent agents that drive business impact, with potential leadership on architecture and strategy depending on experience.

We value hands-on engineers who ship production-grade AI systems.