Job Title: Machine Learning Engineer Company Name: Roper Technologies Inc Job Url: https://www.simplyhired.com/job/X9ngMhOeJmlUaAMDvJzttolXnIR_TBbumTjK1Yfi4RQwrGiZ8VBdtw Job Description: Machine Learning Engineer Roper Technologies Inc Sarasota, FL Job Details 8 hours ago Qualifications TensorFlow Azure Software design Continuous Delivery (CD) implementation PyTorch Software coding Enterprise software IT system monitoring System design Application deployment Google Cloud Platform Mid-level Scalable systems 3 years Microservices AWS Model deployment Mentoring Implementing APIs Developing data pipelines Scalability System architecture design Distributed computing Machine learning libraries SaaS AI Cross-functional collaboration Model evaluation Machine learning frameworks Leadership Project stakeholder communication MLOps Cross-functional communication Full Job Description Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy. We are looking for hands-on engineers who are excited about building production-grade AI systems—not just prototypes—and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired. What You’ll Do AI & ML System Development Design, build, and deploy machine learning models and AI systems in production environments Develop components such as: Model inference services Data and feature pipelines Complex recommendation and matching services Vision based analysis systems Evaluation and monitoring pipelines Optimize models for performance, reliability, and cost efficiency Intelligent Agents & Applied AI Contribute to the development of AI agents and multi-step workflow automation systems Build 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 Help translate AI research advances into practical, scalable solutions Engineering Excellence 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 Cross-Functional Collaboration Partner with product, data engineering, and infrastructure teams Help 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 Qualifications We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly. Required 3+ years of experience in software engineering, data science, or machine learning (more for senior roles) Experience building and deploying production software systems Strong programming skills in Python (experience in additional languages is a plus) Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, 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 Preferred Experience with: 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 Leveling & Growth We are hiring across multiple experience levels: Intermediate ML Engineer – Contributes independently to projects, builds production features, collaborates cross-functionally. 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. Level and compensation will be determined based on experience and demonstrated expertise. 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 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