AI Engineer

Toronto, Ontario

ShyftLabs

ShyftLabs is not just a software company; we're your partners in propelling digital transformation at unprecedented speed. As experts, we specialize in crafting end-to-end solutions through our collaborative approach. With a deep-rooted...

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Position Overview- We are looking for an experienced AI Engineer to implement and optimize AI-powered products and solutions. In this role, you will work with cross-functional teams to apply, fine-tune, and scale AI models, ensuring they deliver real-world impact. You will focus on optimizing performance, integrating AI into production systems, and enabling seamless deployment.
ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights.

Key Responsibilities:

  • Apply and optimize AI models to enhance ShyftLabs' data and AI products.
  • Integrate AI solutions into scalable production environments.
  • Fine-tune models for performance, reliability, and cost efficiency.
  • Collaborate with engineers and data scientists to ensure seamless AI deployment.
  • Leverage cloud and infrastructure tools to support AI-driven applications.
  • Stay up to date with AI advancements and best practices.
  • Document processes and implementations to improve scalability and knowledge sharing.

Basic & Preferred Qualifications:

  • Bachelor’s degree in Computer Science, AI, Data Science, or a related field.
  • 2+ years of experience in AI/ML engineering, software development, or data-driven solutions.
  • Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in SQL.
  • Experience integrating AI models into scalable production systems.
  • Strong software engineering skills, including experience with API development, microservices, and distributed systems.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure and MLOps best practices.
  • Understanding of system design and architecture to support AI applications.
  • Excellent problem-solving skills and the ability to optimize AI-driven applications.
  • Strong communication skills to collaborate with cross-functional teams and stakeholders.
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: API Development APIs Architecture AWS Azure Computer Science Consulting Distributed Systems Engineering GCP Machine Learning Microservices ML models MLOps Prototyping Python PyTorch Scikit-learn SQL TensorFlow

Perks/benefits: Career development Competitive pay Insurance

Region: North America
Country: Canada

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