AI engineer

2 weeks ago

Oakville, Canada Sportchek Full time
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As an AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions that drive innovation and business growth. You will collaborate with cross-functional teams to solve complex problems using AI algorithms, Machine learning algorithms, deep learning models, and other AI techniques. This role requires a strong background in computer science, mathematics, and programming skills, along with a passion for advancing the field of artificial intelligence.

  • Lead the building, scaling, optimization, production deployment & maintenance of Artificial Intelligence (AI) capabilities, solutions, and systems 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.
  • 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.
What you bring
  • Degree in AI, Computer Science, Engineering, or related field. li>
  • 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.
  • 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.Our Commitment to Diversity, Inclusion and Belonging

    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

    Accommodations

    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

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