Computer Vision/ Machine Learning Engineer

Job Summary:

Our client is seeking a Computer Vision/ Machine Learning Engineer to join their team! This position is located in Orlando, Florida. 


 

Duties:

• Design, develop, and maintain scalable decision science pipelines and tools that support AI/ML, optimization, statistical, and simulation models, enabling other data scientists to deploy and monitor models efficiently
• Build configurable, modular, and reusable solutions that streamline development and operationalization of AI/ML systems
• Develop new tools and capabilities to deploy, host, and serve decision science models at scale with high availability, performance, and reliability
• Collaborate closely with cross-functional teams, presenting designs and advocating adoption of reusable AI/ML components
• Drive innovation and experimentation while maintaining high standards for code quality, system design, and documentation
• Interpret system requirements and architectural documents, adapting designs to deliver effective, cutting-edge solutions
• Troubleshoot complex CI/CD, integration, and system issues, ensuring smooth model deployment and operational stability
• Follow engineering best practices and operational standards to ensure maintainable, high-quality, and reliable code
• Contribute to the broader technical community through knowledge sharing, presentations, and cross-team collaboration initiatives

Desired Skills/Experience:

• Master's degree in Computer Science, Engineering, or related field is preferred
• 4 years of experience in AI/ML, Python development, and decision science engineering
• Strong proficiency in Python and libraries like Scikit-learn, Pandas, SciPy, Keras, TensorFlow, PyTorch
• Experience with AI/ML models, including LLMs, Knowledge Graphs, deep learning, and neural networks
• Familiarity with prompt engineering, agentic workflows, and scalable system design
• Knowledge of databases and distributed computing and Knowledge Graphs 
• Experience with modern development tools, CI/CD, containerization, cloud platforms (AWS), Agile, and MLOps/DevOps practices
• Strong problem-solving, communication, and collaboration skills, able to work effectively in a matrixed organization
• Experience developing Streamlit or RShiny applications is a plus

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position is between $56.00 and $80.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.