Machine Learning Engineer

What we offer

Roper Technologies presents an onsite opportunity in Sarasota, FL to design, build, and deploy production‑grade AI systems across a diverse portfolio of software businesses. You will help construct reusable infrastructure, collaborate with product, data engineering, and infrastructure teams, and shape the next generation of intelligent enterprise software.

Why join Roper

• Work on high‑impact AI systems across a diverse portfolio of leading software businesses
• Build reusable infrastructure that scales across industries
• Collaborate with experienced engineering and executive leadership
• Shape the next generation of intelligent enterprise software

Responsibilities

• Design, develop, and deploy machine learning models and AI systems in production environments
• Create model inference services and data and feature pipelines
• Build complex recommendation and matching services and vision based analysis systems
• Establish evaluation and monitoring pipelines to ensure reliability
• Optimize models for performance, reliability, and cost efficiency
• Contribute to AI agents and multi‑step workflow automation
• Develop systems that integrate with enterprise tools and APIs
• Implement tool use frameworks, memory mechanisms, and evaluation loops
• Experiment with LLMs, foundation models, and fine tuning approaches
• Translate AI research advances into practical, scalable solutions
• Write high‑quality, maintainable, and well‑tested code
• Participate in architecture design and technical reviews
• Contribute to CI/CD pipelines and MLOps workflows
• Implement observability and monitoring for AI systems in production
• Follow security, compliance, and responsible AI best practices
• Partner with product, data engineering, and infrastructure teams
• Identify high‑impact AI use cases within portfolio companies
• Support integration of shared AI components into business applications
• Communicate technical tradeoffs clearly to both technical and non‑technical stakeholders

Requirements

• 3+ years of experience in software engineering, data science, or machine learning
• Experience building and deploying production software systems
• Strong programming skills in Python; experience with additional languages is a plus
• Familiarity with ML frameworks such as PyTorch, TensorFlow, and scikit‑learn
• Understanding of modern AI architectures, including LLM based systems
• Experience working with cloud environments (AWS, Azure, or GCP)
• Strong problem‑solving skills and attention to detail

Technologies

• Python
• PyTorch
• TensorFlow
• scikit‑learn
• AWS
• Azure
• GCP

Leveling and growth

• Intermediate ML Engineer — Contributes independently to projects, builds production features, collaborates cross‑functional
• Senior ML Engineer — Owns complex systems end‑to‑end, drives architectural decisions, mentors others
• Principal / Staff ML Engineer — Defines technical direction, leads cross‑portfolio initiatives, designs shared frameworks and scalable AI infrastructure

What we value

• Strong engineering fundamentals
• Practical, impact‑driven AI development
• Curiosity and willingness to experiment responsibly
• Ownership mindset and bias toward execution
• Ability to balance innovation with reliability

Preferred

• Fine tuning, experimentation, etc.
• Rapid development using AI tools
• Agent frameworks and orchestration tools
• Distributed systems or microservices architecture
• Model monitoring and evaluation frameworks
• Experience building reusable libraries or shared infrastructure
• Exposure to SaaS products or enterprise software environments
• Background in optimizing models for performance and cost