[Remote] Machine Learning Developer Associate (May or September 2027 - Toronto, Calgary, or Montreal)

October 1, 2026

Note: The job is a remote job and is open to candidates in USA. IBM Consulting is IBM’s global professional services business focused on business and technology transformation through collaboration with clients. The Machine Learning Developer Associate will design, develop, test, and deploy machine learning and AI solutions for enterprise clients, supporting GenAI, automation, analytics, and cloud-based initiatives. The role involves collaborating with cross-functional teams and contributing to model development, proof-of-concepts, prototypes, and production-ready applications.

Responsibilities

Design, develop, test, and deploy machine learning and AI solutions for enterprise clients
Support the development of GenAI, automation, and advanced analytics solutions
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Participate in model development, evaluation, deployment, and optimization activities
Contribute to proof of concepts, prototypes, and production-ready AI applications
Support project teams in delivering AI and machine learning solutions on major cloud platforms
Continuously develop your technical and consulting skills through hands-on project experience, learning opportunities, and mentorship

Skills

Bachelor's Degree
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Mathematics, Statistics, or a related technical field
Demonstrated familiarity or interest in machine learning, statistical analysis, artificial intelligence, or data mining through academic projects, internships, hackathons, research, publications, or personal projects
Experience with one or more programming languages, preferably Python
Hands-on experience with GenAI tools and frameworks (e.g., LangChain, Microsoft Agent Framework) and LLM concepts such as prompt engineering, RAG, and agentic workflows
Strong analytical and problem-solving skills
Ability to communicate technical concepts effectively to peers, managers, and clients
Ability to work independently and collaboratively within cross-functional teams
Must be eligible to work full-time in Canada
Candidates considered for positions located in Quebec must be fluent in French
This opportunity is based in in Toronto, Calgary, or Montreal and supports Associate Consultant hiring cohorts commencing in May 2027 and September 2027
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Must have the ability to work in Canada without sponsorship
Internship, co-op, research, or project experience related to machine learning, computer vision, artificial intelligence, data science, or software engineering
Experience using machine learning or data engineering frameworks such as Scikit-learn, PyTorch, TensorFlow, or PySpark
Experience developing software prototypes, proof-of-concepts, or AI-driven applications
Experience supporting projects involving AI, Machine Learning, Automation, GenAI, or Large Language Models
Familiarity with cloud-native application development and related technologies such as Kubernetes, Docker, CI/CD pipelines, and distributed storage systems
Experience with AI and cloud services on Microsoft Azure, AWS, Google Cloud Platform (GCP), or IBM Cloud
Familiarity with MLOps concepts, model deployment, monitoring, and governance
Experience working with data pipelines, ETL processes, or large-scale data platforms is an asset

Benefits

Hybrid work arrangement
Long-term career growth and development opportunities
Learning opportunities and mentorship
Continuous trust and support in an environment where everyone can thrive

Company Overview

IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. It was founded in 1911, and is headquartered in Armonk, New York, USA, with a workforce of 10001+ employees. Its website is

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