We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Team Lead, Machine Learning Operations who will mentor and coach a team that is responsible for building, implementing, testing, and maintaining scalable data / ML pipelines. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:As a Team Lead, Machine Learning Operations, your key area of responsibility will be to take research outcomes, models, and analysis from Data Scientists, and put them into production. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How you'll make an impact- 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 Tensorflow) to develop ML models, as well as build and maintain software to manage models.
- Interface with product managers, data engineers, data scientists, and software developers to gather requirements.
- Make recommendations for new metrics, techniques, and strategies to improve Geotab product suite.
- Support a platform providing ad-hoc and automated access to large datasets, models, and predictions.
- Manage team expectations with regards to task assignments, work arrangements, and other department expectations.
- Provide encouragement to team members, including communicating team goals and identifying areas for new training or skill checks.
- Support Geotab global strategic initiatives.
- Post-secondary Degree/Diploma specialization in Computer Science, Software/Computer Engineering, Physics, Statistics, Mathematics, or a related field.
- 5-8 years experience in applied machine learning, working with large datasets to solve real-world problems.
- 5-8 years experience in deep learning frameworks, ML libraries, and computing frameworks.
- Leadership experience in a team-oriented workplace.
- Demonstrated knowledge of relevant libraries and operating systems.
- Familiarity with SQL and No-SQL databases.
- Strong understanding of probability theory and data modeling.
- Experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
- Experience in AI/ML, data pipeline building, and software engineering.
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
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What We Do
Welcome to Geotab, the #1 commercial telematics company in the world. Geotab is a place where passion, creativity and innovation align. We are committed to advancing technology, empowering businesses and making the roads safer for everyone.
Geotab is the world’s leading connected vehicle company for fleets, providing open platform fleet management solutions to businesses of all sizes. Geotab’s intuitive, full-featured solutions are used by over 40,000 customers around the world to help them better manage their drivers and vehicles. With Geotab devices found in over 2 million vehicles, the company processes over 30 billion data points each day to provide insight into productivity, safety, fuel efficiency and more.
Geotab’s employees are essential to our success! We strive to put our employees first and are constantly seeking ways to improve workplace culture. Maintaining our unique culture is vital - after all, staff that enjoy their work environment are motivated to reach their full potential. Employee growth and development has long been the basis of our philosophy, as staff are encouraged to carve their own path within the expanding organization. Challenging the status quo and seeking creative ideas is what we do best.
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