Position Overview: ShyftLabs is seeking a talented AI Engineer to design, optimize, and deploy AI-powered solutions that drive measurable business outcomes. In this role, you’ll partner with cross-functional teams to fine-tune models, integrate AI into scalable production systems, and ensure seamless deployment with a focus on performance, reliability, and efficiency.
About ShyftLabs: ShyftLabs is a leading data and AI company helping enterprises unlock value through AI-driven products and solutions. We specialize in building data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients trust us to transform complex data into actionable insights that fuel innovation.
Position Overview: ShyftLabs is seeking a talented AI Engineer to design, optimize, and deploy AI-powered solutions that drive measurable business outcomes. In this role, you’ll partner with cross-functional teams to fine-tune models, integrate AI into scalable production systems, and ensure seamless deployment with a focus on performance, reliability, and efficiency.About ShyftLabs: ShyftLabs is a leading data and AI company helping enterprises unlock value through AI-driven products and solutions. We specialize in building data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients trust us to transform complex data into actionable insights that fuel innovation.
Job Responsibilities
Apply and optimize AI models to enhance ShyftLabs’ AI-driven solutions.
Integrate models into scalable, production-ready environments.
Fine-tune models for performance, reliability, and cost efficiency.
Collaborate closely with engineers and data scientists to enable smooth deployments.
Leverage cloud platforms and infrastructure tools to support AI applications.
Stay ahead of industry trends by researching the latest AI/ML tools and practices.
Document processes and implementations to improve scalability and knowledge sharing.
Basic Qualifications
Bachelor’s degree in Computer Science, Data Science, AI, or related field.
5 + years of software development, or data-driven solutions.
2+ years of experience in AI/ML engineering.
Strong Python programming skills and hands-on experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in SQL and experience deploying models into production.
Solid software engineering background, including API development, microservices, and distributed systems.
Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
Knowledge of system design and architecture for AI-driven applications.
Excellent problem-solving skills with an emphasis on optimization.
Strong communication and collaboration skills.
Experience with full-stack development, particularly integrating AI models into web applications.
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is hybrid, with 3 days per week spent in our Toronto office. 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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