Machine Learning Engineer

Machine Learning Engineer

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.

What You'll Do

• 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

• 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

• 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
• 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

• 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

• 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

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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.