Bits In Glass · 6 hours ago
Machine Learning Intern (University of Waterloo)
Bits In Glass is a company focused on delivering AI/ML solutions, and they are seeking a Machine Learning Intern to collaborate with ML Developers and Senior ML Engineers. The role involves developing innovative AI solutions to address complex business challenges, using an Agile approach and a customer-oriented mindset.
Cloud ComputingConsultingSoftware
Responsibilities
Translate business needs into AI/ML and GenAI solutions
Build AI/ML models using accepted best practices
Keep up-to-date with the latest developments in AI/ML
Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
Assess model performance and reliability and make tradeoffs against quality metrics
Prepare reports and presentations on results
Prepare data visualisation front-ends as required to communicate insights from the model
Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows
Qualification
Required
A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
Eager to research and learn new topics and technologies
Preferred
Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
Databricks
Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset
Company
Bits In Glass
Bits In Glass is an award-winning software consulting firm combining deep industry expertise and experience with the best names in technology to provide innovative solutions to your unique business challenges.
Funding
Current Stage
Growth StageTotal Funding
unknown2024-02-07Private Equity
Recent News
2025-04-30
Company data provided by crunchbase