Job Specifications
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in solving business challenges with machine learning.
The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.
As An Intern Machine Learning Developer, You’ll Have The Unique Opportunity To Learn And Use Industry-leading ML Technologies On a Cloud Platform (e.g. IBM Cloud, Azure, AWS Or Edge) By Working On a Project That Generates Value For External Client Engagements Or Internal Initiatives. Depending On The Projects And Team’s Technical Requirements, You Will Have The Opportunity To Work With Technologies Such As:
GenAI/Agentic AI Famework and Models - Autogen, LangGraph, LLM
Seldon Core, Spark, Kafka
Pytorch, Tensorflow CUDA
Computer Vision
Requirements:
This position is open to applicants who reside in Toronto, Montreal or Ottawa and is open to applicants seeking 4-month internship work terms, commencing in May 2026. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work term.
We are hiring in major cities across Canada.
Candidates considered for a Quebec position must be fluent in French.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications.
Experience with one or more scripting languages (Python preferred), or a proven computer science foundation
Hands-on experience with GenAI tools (eg. langchain, semantic kernel, etc.) and LLM concepts (prompt-engineering, RAG, etc.)
Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team.
Must be eligible to work full-time for 4 months starting in May 2026
Preferred Technical And Professional Experience
One or more work terms in a machine learning, computer vision or software engineering related role
Experience using machine-learning or data engineering libraries/frameworks in python (scikit-learn, Pytorch, TensorFlow, Pyspark).
Hands on R&D to develop software demos and prototypes.
Support delivery project teams in areas such as AI, ML, Automation, LLM on major cloud providers.
Good familiarity with cloud application development and the tools required for building cloud-native data applications (Kubernetes, Docker, storage, etc.).
AI and Cloud services working experience on Azure, AWS or GCP are assets
About the Company
At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you.
We're here to help every creator turn their "what if" into what is. Let's create something that will change everything.
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