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Machine Learning Engineer
2 months ago
About the Role
At Canadian Tire Corporation, we are 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 Developer to join our dynamic team.
Key Responsibilities
- Design, develop, and implement cutting-edge artificial intelligence solutions that drive innovation and business growth.
- Collaborate with cross-functional teams to solve complex problems using AI algorithms, machine learning algorithms, deep learning models, and other AI techniques.
- Lead the building, scaling, optimization, production deployment & maintenance of Artificial Intelligence (AI) capabilities, solutions, and systems to solve complex business problems.
- Conduct experiments and evaluate the effectiveness of different AI approaches.
- Creating and managing the AI development process and overall infrastructure for scaling and performance.
- Collaborate with software engineers to integrate AI models into production systems.
- Work closely with stakeholders to understand their requirements and provide AI solutions accordingly.
- Optimize and fine-tune AI algorithms for performance and accuracy.
- Enable repeatable patterns for enablement and automation of 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
- Degree in AI, Computer Science, Engineering, or related field. Master's preferred.
- 3+ years experience in developing and deploying optimized machine learning models/solutions at scale in cloud environments. Familiarity & relevant certifications with Azure, OpenAI, Open Source Implementations, Databricks & MLFlow preferred.
- 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 whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.
