AI Engineer
Description For AI Engineer
ShyftLabs, a leading data and AI company, is seeking an experienced AI Engineer to join their team in a hybrid work environment in Toronto. This role focuses on implementing and optimizing AI-powered products and solutions that deliver real-world impact for Fortune 500 clients.
The ideal candidate will work at the intersection of AI and software engineering, applying and fine-tuning models while ensuring their successful integration into production systems. With 2+ years of experience required, this position offers an opportunity to work with cutting-edge AI technologies and collaborate with cross-functional teams.
The role demands strong technical skills in Python, AI/ML frameworks, and SQL, combined with experience in cloud platforms and MLOps. You'll be responsible for optimizing AI model performance, ensuring reliability, and maintaining cost efficiency while working in a scalable production environment.
ShyftLabs offers a competitive compensation package including healthcare benefits and emphasizes employee growth through extensive learning and development resources. The company maintains a strong commitment to diversity and inclusion, welcoming qualified applicants from all backgrounds.
This position is perfect for a mid-level engineer looking to advance their career in AI while working with enterprise-level solutions and contributing to meaningful projects that transform data into actionable insights for major clients.
Responsibilities For AI Engineer
- 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
Requirements For AI Engineer
- 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
- Proficiency in SQL
- Experience integrating AI models into scalable production systems
- Strong software engineering skills, including API development, microservices, and distributed systems
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices
- Understanding of system design and architecture to support AI applications
- Excellent problem-solving skills
- Strong communication skills
Benefits For AI Engineer
- Healthcare insurance
- Learning and development resources
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