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 preferred4+ years of experience in AI / ML, Python development, and decision science engineeringStrong proficiency in Python and libraries like Scikit-learn, Pandas, SciPy, Keras, TensorFlow, PyTorchExperience with AI / ML models, including LLMs, Knowledge Graphs, deep learning, and neural networksFamiliarity with prompt engineering, agentic workflows, and scalable system designKnowledge of databases and distributed computing and Knowledge GraphsExperience with modern development tools, CI / CD, containerization, cloud platforms (AWS), Agile, and MLOps / DevOps practicesStrong problem-solving, communication, and collaboration skills, able to work effectively in a matrixed organizationExperience developing Streamlit or RShiny applications is a plusBenefits :
Medical, Dental, & Vision Insurance PlansEmployee-Owned Profit Sharing (ESOP)401K offeredThe 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.