Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)

Introduction

The Role

Potential Technologies

• Projects may involve GenAI and agentic AI frameworks and models such as AutoGen, LangGraph, vLLM, Microsoft Agent Framework, and LLMs.
• Projects may involve PyTorch, TensorFlow, CUDA, computer vision, MLOps, Spark, and Kafka.

Responsibilities

• Design, develop, test, and deploy machine learning and AI solutions.
• Support GenAI, automation, and advanced analytics solutions.
• Translate business requirements into technical solutions with cross-functional teams.
• Participate in model development, evaluation, deployment, and optimization.
• Contribute to proofs of concept, prototypes, and production-ready AI applications.
• Support delivery of AI and machine learning solutions on major cloud platforms.
• Develop technical and consulting skills through projects, learning, and mentorship.

Required Qualifications

• Bachelor's degree in computer science, software engineering, computer engineering, data science, mathematics, statistics, or a related technical field.
• Familiarity with or interest in machine learning, statistical analysis, artificial intelligence, or data mining demonstrated through academic or personal work.
• Experience with one or more programming languages, preferably Python.
• Hands-on experience with GenAI tools and frameworks and LLM concepts including prompt engineering, RAG, and agentic workflows.
• Strong analytical, problem-solving, communication, independent-working, and collaboration skills.
• Must be eligible to work full-time in Canada.

Preferred Experience

• Internship, co-op, research, or project experience in machine learning, computer vision, artificial intelligence, data science, or software engineering.
• Experience with Scikit-learn, PyTorch, TensorFlow, PySpark, software prototypes, proofs of concept, or AI-driven applications.
• Familiarity with Kubernetes, Docker, CI/CD pipelines, distributed storage, cloud AI services, MLOps, model governance, ETL, or large-scale data platforms.

Program Eligibility

• Applicants must graduate from a recognized post-secondary institution before the employment start date.
• MBA and PhD graduates are not eligible for this Associate Consultant hiring program.
• Candidates for positions located in Quebec must be fluent in French.

Hiring Cohorts

• The opportunity supports Associate Consultant hiring cohorts commencing in May 2027 and September 2027.
• The role is based in Toronto, Calgary, or Montreal.

About IBM Consulting