Introduction A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term growth opportunities and development opportunities in an environment that embraces your unique skills and experience.

About Business Unit

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration.

We believe in the power of technology responsibly used to help people, partners and the planet.

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.

Requirements

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 Frameworks and Models - AutoGen, LangGraph, LLM, Microsoft Agent Framework
- Spark, Kafka
- PyTorch, Tensorflow CUDA
- Computer Vision

This position resides in Toronto or Montreal and is a 4-month work term commencing in January 2027. All applicants must be eligible to work full time in Canada and enrolled full time in an eligible post-secondary program. It is mandatory that applicants return to full-time studies upon completion of the work term.



Candidates pursuing Bachelor's or Master's degrees are eligible. MBA and PhD candidates are not eligible for this opportunity.

Preferred Education

Bachelor's Degree

Required Technical And Skilled 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 January 2027.
- Candidates considered for a Quebec position must be fluent in French.

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.

📌 Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
🏢 IBM
📍 Montreal