Supervisor in RSM’s Advanced Analytics and AI Consulting practice focusing on data, machine learning, and AI solutions. Collaborating with teams to deliver advanced analytics projects for clients.
About the role
- AI/ML Engineer Intern at Brain Co. for current undergraduate students applying AI techniques to solve healthcare, government, and energy challenges.
Responsibilities
- Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
- Build and improve data pipelines and support model training, evaluation, and optimization
- Work with structured and unstructured data (e.g., text, documents, logs)
- Help prepare models and systems for production deployment and monitoring
- Collaborate closely with senior engineers, AI researchers, and product teams
- Learn best practices through code reviews, design discussions, and hands-on mentorship
- Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions
Requirements
- Are a current undergraduate student, specifically a sophomore or junior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
- Have experience programming in Python
- Have coursework or project experience in machine learning or AI
- Have exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)
- Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow
- Have strong fundamentals in data structures and algorithms
- Are curious, proactive, and excited to learn quickly in a fast-paced environment
- Enjoy owning problems end-to-end with guidance and support
Benefits
- Competitive internship compensation
- Hands-on mentorship from experienced AI engineers and researchers
- Opportunity to work on real production systems used globally
- Potential return-offer consideration for future internships or full-time roles
- Daily lunches (if onsite)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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