Machine Learning Engineer

Machine Learning Engineer at Roper Technologies in Sarasota, FL onsite, focused on designing, building, and deploying production-grade AI systems, including AI agents and enterprise integrations across the software portfolio.

Responsibilities

• Architect, build, and deploy production-ready ML models and AI systems across the software stack.
• Develop model inference services and scalable data/feature pipelines.
• Create complex recommendation and matching services for enterprise applications.
• Build vision-based analysis components and supporting evaluation and monitoring pipelines.
• Optimize models for performance, reliability, and cost efficiency.
• Contribute to AI agents and multi-step workflow automation initiatives.
• Design systems that integrate with enterprise tools and APIs, including tool-use frameworks and memory plus evaluation loops.
• Experiment with LLMs, foundation models, and fine-tuning approaches.
• Translate cutting-edge AI research 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 production monitoring for AI systems.
• 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 to stakeholders.

Requirements

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

Technologies

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

Leveling & Growth

• Intermediate ML Engineer – contributes independently to projects, builds production features, and collaborates cross-functionally.
• Senior ML Engineer – owns complex systems end-to-end, drives architectural decisions, and mentors others.
• Principal / Staff ML Engineer – defines technical direction, leads cross-portfolio initiatives, and 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 with a bias toward execution.
• Ability to balance innovation with reliability.

Why Join

• 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.
• Help shape the next generation of intelligent enterprise software.

Preferred

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