Machine Learning Developer Intern (4 month term - Toronto or Montreal)

Leadingtalent; Toronto; On-site; CAD 25,000 - 36,000; Full time

Job summary

Leadingtalent is seeking an intern Machine Learning Developer to join a fast‑paced consulting team in Toronto or Montreal, beginning in January 2026. The role will focus on developing machine learning solutions, leveraging cloud platforms and collaborating with a cross-functional team.

Ideal candidates will be enrolled in a post-secondary program, have a strong foundation in Python and demonstrate interest in machine learning and data analysis. The internship offers a unique opportunity to work on industry-leading projects.

Qualifications

• Full-time enrolment in a post-secondary institution.
• Willingness to commence a 4-month internship in January 2026.
• Experience in machine learning via academic projects or internships.

Responsibilities

• Design, prototype and deploy machine learning models.
• Work with GenAI frameworks and models.
• Collaborate with cross-functional teams and present findings.
• Collaborate with cross-functional teams, present findings to non-technical stakeholders.

Skills

Machine Learning

Statistical Analysis

Data Mining

Python

Communication

Team collaboration

Cloud platforms

PyTorch

TensorFlow

CUDA

Education

High-school diploma/GED

Post-secondary enrolment (full-time)

Tools

PyTorch

TensorFlow

GenAI tools

Kubernetes

Docker

PySpark

Spark

LangGraph

Azure/AWS/GCP

PyTorch

TensorFlow

CUDA

Job description

Overview

An intern Machine Learning Developer will join a fast‑paced consulting team composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers. The role focuses on conceptualizing, developing and deploying machine learning solutions to solve enterprise‑scale problems for external client engagements or internal initiatives.

Responsibilities

Key duties include:

• Design, prototype and deploy machine learning models on industry‑leading cloud platforms (IBM Cloud, Azure, AWS, Edge).
• Work with technologies such as GenAI/Agentic AI frameworks and models (Autogen, LangGraph, LLM), Seldon Core, Spark, Kafka.
• Implement deep‑learning frameworks (PyTorch, TensorFlow, CUDA) and computer‑vision solutions.
• Collaborate with cross‑functional teams, present findings, and translate technical concepts to non‑technical stakeholders.
• Support delivery of AI, ML, automation and LLM projects on major cloud providers.

Requirements

• Located in Toronto or Montreal and willing to commence a 4‑month internship in January 2026.
• Full‑time enrolment in a post‑secondary institution with return to studies after the internship.
• High‑school diploma/GED (minimum education).
• Fluent in French for Quebec assignments (optional).
• Eligible to work in Canada without sponsorship.
• Knowledge of cloud export regulations (no employment for foreign nationals from US‑sanctioned countries).

Technical and Professional Expertise

• Demonstrated interest or experience in machine learning, statistical analysis or data mining via internships, academic projects, hackathons or publications.
• Proficiency in one or more scripting languages (Python preferred) or a strong computer‑science foundation.
• Hands‑on experience with GenAI tools (e.g., LangChain, Semantic Kernel) and LLM concepts such as prompt engineering and RAG.
• Excellent communication skills with the ability to work independently and as part of a cross‑functional team.
• Eligibility for full‑time work for 4 months starting January 2026.

Preferred Experience

• Previous work terms or internships in machine‑learning, computer‑vision or software engineering.
• Experience with Python libraries/frameworks: scikit‑learn, PyTorch, TensorFlow, PySpark.
• Hands‑on R&D for software demos and prototypes.
• Experience delivering AI/ML/LLM solutions on Azure, AWS or GCP.
• Familiarity with cloud‑native application development (Kubernetes, Docker, storage).

Equal Employment Opportunity

IBM is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM also complies with all fair employment practices regarding citizenship and immigration status.