Intern in Machine Learning/Deep Learning at BeOne Medicines. Collaborating with leadership on high - impact AI modeling in Hematology and Oncology.
About the role
- Machine Learning Engineer creating AI solutions that enhance operations and accessibility in Defense and Intelligence sectors. Collaborating on technical innovations and deployments while leveraging cloud environments.
Responsibilities
- design, create, and implement complete AI systems that transform client operations
- increase data accessibility
- optimize AI and ML systems
Requirements
- 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
- experience evaluating LLM performance and building observation layers for stakeholders
- TS / SCI clearance
- Bachelor's degree
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
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Machine Learning Engineer creating AI and ML solutions to transform operations in the Defense and Intelligence sectors. Focusing on optimizing data accessibility and operationalization of AI and ML systems.
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