Machine Learning Engineer

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 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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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