Machine Learning Engineer

What you'll do

• Experiment with emerging technologies and contribute to building new models and systems
• Implement prototypes of the algorithms and models you design in Python
• Focus on delivering solutions to production (this is not a research-only role)
• Design training and evaluation protocols
• Set up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected
• Partner closely with the platform engineering team to streamline and optimize MLOps workflows
• Use Kanban to manage multiple releases per week
• Maintain high code quality through code reviews and automated tests

Requirements

• Hands-on experience implementing production machine learning systems at scale
• Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn
• Familiarity with ML tools like MLFlow, Ray Serving
• Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis
• Familiarity with AWS and Google Cloud big data products

Tech stack