Machine Learning Engineering Lead
Toronto, On
Information Technology
Excellent Salary and attractive benefits
Our Canadian based SaaS Marketing client, is seeking a Machine Learning Engineering Lead to expand their abilities in data science, machine learning, and development.
This position leads a small MLOps team, and collaborates with our Data Scientists, Data Engineers and Developers to architect data pipelines, build our production machine learning infrastructure and support machine learning research.
The Role :
Lead, manage and mentor the Machine Learning Engineers on your team
Collaborate with our Engineering teams to help build production features that leverage our machine learning technologies
Develop infrastructure for rapid machine learning feature prototyping, deployment, and evaluation with customers
Build and optimize data lakes and feature stores to feed research projects
Apply best practices for ETL and batch processing of database, log, image, and HTML data.
Participate in large-scale project planning and stakeholder education
The Ideal Candidate :
5 or more years of experience working with MLOps or Machine Learning Engineering
Experience leading major projects and managing team members
Post secondary Degree or Masters in Computer Science or related disciplines with preference given to those with their PHD
Experience deploying machine learning models in production, and with production architecture, monitoring and logging
Excellent communication and emotional intelligence is required
Exceptional experience programming with Python and the associated data science / machine learning packages (e.g. scikit-learn, pandas, xgboost, numpy, scipy)
Management of databases (we principally use MySQL, Postgres, and DynamoDB)
Cloud infrastructure
Experience with web technologies, including APIs (REST and GraphQL)
Linux administration and command line tools
Agile development, version control, and code review processes
Big Data ETL (PySpark) 
