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 and ML solutions to transform operations in the Defense and Intelligence sectors. Focusing on optimizing data accessibility and operationalization of AI and ML systems.
Responsibilities
- design, create, and implement complete AI systems that will transform client operations
- increase data accessibility
- optimize AI and ML systems
- ensure that 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 into a variety of different mission environments
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 with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
- Experience in connecting Agents to APIs, Cloud platforms, or databases
- Experience evaluating LLM performance and building observation layers for stakeholders
- Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
- Ability to obtain a Secret clearance
- Bachelor’s degree
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
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.
Senior Machine Learning Engineer leading AI system development for diverse clients at Faculty. Collaborate cross - functionally while ensuring ethical AI deployment in public services.
Machine Learning Engineer designing and implementing cutting - edge ML technologies. Collaborating with data scientists to create innovative solutions that drive impactful projects.
Werkstudent in Machine Learning für Bremsentechnik bei Brakenhof in Estorf. Durchführung von Versuchen, Datenanalyse und Entwicklung von Vorhersagemodellen mit Python.
Principal Machine Learning Engineer at Binance developing AI solutions for cryptocurrency users. Responsible for driving personalization in recommendations and managing data - driven projects.
Junior AI Engineer developing AI solutions on Microsoft Azure for Northern Trust. Collaborating with data scientists and engineers to create scalable AI applications.
Senior ML Engineer at Shopmonkey building production - ready ML models and managing end - to - end ML system development. Collaborating with cross - functional teams to drive high - impact business solutions.
Principal Machine Learning Engineer leading complex AI projects for financial institutions. Empowering clients through advanced data science and responsible AI solutions.
Senior ML Engineer developing algorithms for Gridware's automated hazard detection systems. Collaborating cross - functionally to enhance grid monitoring and reliability through machine learning.