Job Description
Who you are
Geotab is seeking a Team Lead, ML Ops who will mentor and coach a team that is responsible for building, implementing, testing, and maintaining scalable data / ML pipelines. What you’ll do
The Team Lead, ML Ops will take research outcomes, models, and analysis from Data Scientists, and put them into production. Responsibilities
Accountable for the design, development, and maintenance of scalable production machine learning pipelines and end to end AI solutions. Utilize Big Data and Cloud based technologies to implement and scale machine learning models. Interact with Geotab’s Big Data infrastructure on Google BigQuery using Python and SQL. Interact with other Geotab’s internal teams to implement end-to-end solutions. Process, cleanse, and verify the integrity of data used for prediction and model building. Select features, build, and optimize classifiers using machine learning techniques. Use machine learning packages (e.g. Scikit-learn and Tensor...
Geotab is seeking a Team Lead, ML Ops who will mentor and coach a team that is responsible for building, implementing, testing, and maintaining scalable data / ML pipelines. What you’ll do
The Team Lead, ML Ops will take research outcomes, models, and analysis from Data Scientists, and put them into production. Responsibilities
Accountable for the design, development, and maintenance of scalable production machine learning pipelines and end to end AI solutions. Utilize Big Data and Cloud based technologies to implement and scale machine learning models. Interact with Geotab’s Big Data infrastructure on Google BigQuery using Python and SQL. Interact with other Geotab’s internal teams to implement end-to-end solutions. Process, cleanse, and verify the integrity of data used for prediction and model building. Select features, build, and optimize classifiers using machine learning techniques. Use machine learning packages (e.g. Scikit-learn and Tensor...