Location: Toronto, Ontario, Canada
Category: Information Technology
Salary: 90,000 - 120,000 CAD / yearly
Full-time
Join our team at Employezz, a leading AI company focused on real-time AI and Video Applications. We are seeking experienced MLOps Engineers to work on cutting-edge projects shaping the future of media.
Design and optimize ML pipelines for training, validation, and inference
Automate deployment of deep learning and generative models for real-time use
Implement versioning, reproducibility, and rollback capabilities
Deploy and manage containerized ML solutions on cloud platforms (AWS, GCP, Azure)
Optimize model performance using TensorRT, ONNX Runtime, and PyTorch
Work with GPUs, distributed computing, and parallel processing to power AI workloads
Build and maintain CI/CD pipelines using tools like GitHub Actions, Jenkins, ArgoCD
Automate model retraining, monitoring, and performance tracking
Ensure compliance with privacy, security, and AI ethics standards
3+ years of experience in MLOps, DevOps, or AI model deployment
Strong skills in Python and frameworks like TensorFlow, PyTorch, ONNX
Proficiency with Docker, Kubernetes, and serverless architectures
Hands-on experience with ML tools (ArgoWorkflow, Kubeflow, MLflow, Airflow)
Experience deploying and optimizing GPU-based inference (CUDA, TensorRT, DeepStream)
Solid grasp of CI/CD practices and scalable ML infrastructure
Passion for automation and clean, maintainable system design
Strong understanding of distributed systems
Bachelor’s or Master’s in Computer Science or equivalent work experience