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Artificial Intelligence Developer

2 months ago

Oakville, Ontario, Canada Canadian Tire Corporation Full time

About the Role

At Canadian Tire Corporation, we're committed to driving innovation and leveraging cutting-edge advancements to solve complex business challenges. Our Emerging Tech and AI team is seeking a talented and passionate AI Solutions Architect to join our dynamic team.

Key Responsibilities

  • Lead the development, deployment, and maintenance of Artificial Intelligence (AI) capabilities, solutions, and systems to drive business growth and innovation.
  • Conduct experiments and evaluate the effectiveness of different AI approaches to solve complex business problems.
  • Create and manage the AI development process and overall infrastructure for scaling and performance.
  • Collaborate with software engineers to integrate AI models into production systems and optimize their performance.
  • Work closely with stakeholders to understand their requirements and provide AI solutions that meet their needs.
  • Optimize and fine-tune AI algorithms for performance and accuracy.
  • Enable repeatable patterns for enabling measurement, explainability, and ethical AI considerations into the development infrastructure and processes.
  • Document technical specifications, processes, and findings related to AI projects.
  • Stay up-to-date with the latest advancements in artificial intelligence and machine learning research.

Requirements

  • Master's degree in AI, Computer Science, Engineering, or related field.
  • 3+ years of experience in developing and deploying optimized machine learning models/solutions at scale in cloud environments.
  • Strong proficiency in programming languages such as Python or Java.
  • Solid understanding of AI solutions, machine learning algorithms, statistical modeling, and deep learning techniques.
  • Experience solving business problems using AI solutions.
  • Proficiency in data manipulation and analysis using SQL and other data processing tools.
  • Experience in optimizing model accuracy and runtime performance.
  • Knowledge of software engineering best practices, version control systems (e.g., Git), and Agile methodologies.
  • Embrace best practices & processes related to LLMOps, Gen AI, automation, coding standard methodologies for the broader data science and engineering teams.
  • Excellent problem-solving skills and ability to think analytically.
  • Strong communication skills to collaborate effectively with cross-functional teams.

What We Offer

We value flexibility and have adopted a hybrid work model that allows employees to work from home and in the office. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.