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Mississauga, Ontario, Canada

Internship

Hybrid

Intern

Roche is a global healthcare company dedicated to advancing science and ensuring access to healthcare. They are seeking an Intern – Data Scientist / Machine Learning Engineer to collaborate with teams on data solutions and improve patient outcomes through technology, particularly focusing on Large Language Models (LLMs).

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Responsibilities

Collaborate with experienced Data Scientists, engineers, and cross-functional teams to address complex problems using modern NLP technologies and LLMs
Assist in building robust data and deployment pipelines for machine learning models
Contribute to the development, deployment, and performance tuning of innovative machine learning models based on business and functional requirements
Document and communicate design and implementation details effectively while assisting the AI team in making key technical decisions
Partner with clients and informatics departments to deploy scalable solutions, actively participating in troubleshooting and root cause analysis
Thrive in a knowledge-sharing team environment that deeply values diverse experiences and a variety of perspectives

Qualification

Required

You are currently pursuing a Master's degree in a quantitative field (e.g., mathematics, statistics, computer science) or a Life Sciences degree with significant computational experience
You have programming capabilities in languages such as Python or R, alongside an awareness of good coding practices and test-driven development
You bring experience or coursework related to Large Language Model (LLM) applications development (e.g., RAG, code interpreter) and a basic understanding of building LLM data/deployment pipelines
You possess exposure to ML/AI toolkits (such as PyTorch, TensorFlow, Keras, AWS SageMaker) and basic knowledge of cloud solutions (AWS, Azure, GCP) and MLOps technologies
You hold basic knowledge of development tools like git, bash, Linux, and CI/CD tools, with proven scripting and automation skills