About this role

design, create, and implement complete AI systems that will transform client operations
increase data accessibility, and optimize AI and ML systems
ensure that the team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
deepen skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration

3+ years of experience as a ML engineer and building production-grade ML solutions
3+ years of experience working within data science or data research in a professional or academic environment
3+ years of experience working in cloud environments, including AWS and Azure
2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL)
Experience in connecting Agents to APIs, Cloud platforms, or databases
Ability to obtain a Secret clearance
Bachelor's degree

AI/ML Engineer

Key skills