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AI Engineer - Remote - Jobs in Toronto

Info Resume Edge
Job LocationToronto
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Job Summary: We are seeking a skilled and innovative AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate will have strong experience in AI/ML model development, deep learning frameworks, and algorithm optimization, with the ability to work on real-world data at scale. This role involves close collaboration with data scientists, software engineers, and product teams to build intelligent applications and systems. Key Responsibilities: Model Developmentamp; Deployment

  • Design, train, and optimize machine learning and deep learning models for classification, regression, NLP, computer vision, or recommendation systems.
  • Deploy models into production using scalable and efficient pipelines (MLOps).
  • Monitor model performance and retrain/refine models as needed.
Data Engineeringamp; Preparation
  • Work with large datasets: collect, clean, preprocess, and transform data from multiple sources.
  • Perform feature engineering and selection to enhance model performance.
  • Collaborate with data engineering teams to build robust data pipelines.
Algorithmamp; System Integration
  • Integrate AI models into backend systems, APIs, web apps, or cloud services.
  • Ensure models are explainable, scalable, and aligned with business goals.
  • Research and evaluate new AI tools, libraries, and industry trends to keep solutions cutting-edge.
Documentationamp; Collaboration
  • Document model design, testing results, APIs, and workflows for reproducibility.
  • Work cross-functionally with product managers, engineers, and analysts to align on requirements and deliverables.
  • Participate in code reviews, Agile ceremonies, and innovation sessions.
Required Qualifications:
  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 25+ years of experience in AI/ML engineering, data science, or software development.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, or similar.
  • Experience with cloud platforms like AWS, GCP, or Azure (especially AI/ML services).
  • Strong knowledge of machine learning algorithms, model evaluation, and deployment best practices.
  • Experience working with REST APIs, databases (SQL/NoSQL), and version control (Git).
Preferred Qualifications:
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Background in deep learning, NLP, computer vision, or generative AI (e.g., LLMs, diffusion models).
  • Familiarity with data labeling, A/B testing, and real-time inference systems.
  • Publications, GitHub projects, or certifications in AI/ML/Deep Learning (Google, Coursera, AWS Certified Machine Learning, etc.).
What We Offer:
  • Competitive salary and performance-based incentives.
  • Health, dental, vision, and retirement benefits.
  • Flexible work schedule and remote work opportunities.
  • Opportunities for continuous learning and certifications.
  • Collaborative, high-tech environment with cutting-edge tools and resources.

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