Machine Learning Engineer (Canada)
Core
Design, deploy, and maintain scalable machine learning systems and production data pipelines for Fortune 100 clients.
Role type
Senior Machine Learning Engineer
Builds
Scalable ML systems, production data pipelines, and reusable code libraries
Domain
Advanced analytics consulting, Big Data, Machine Learning
Deliverable
production ML models
Required skills
Python, Apache Spark, Hadoop, Docker, SQL, statistical tools, relational databases, test-driven development, model evaluation, experimental design
Preferred skills
ML frameworks (Scikit-learn, TensorFlow, Keras), MLflow, Airflow, Kubernetes, cloud-native MLaaS (AWS SageMaker, AzureML, Google AI platform)
Technologies
Python, Spark, Hadoop, Docker, Kubernetes, AWS SageMaker, AzureML, Google AI platform
Responsibilities
Deploy and monitor data science solutions, build scalable ML systems, create production data pipelines, troubleshoot production model issues, manage infrastructure for ML solutions
Seniority
Senior, hands-on IC