Senior Machine Learning Engineer
4 weeks ago
Geotab is a global leader in IoT and connected transportation, certified as a "Great Place to Work." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
We are advancing security, connecting commercial vehicles to the internet, and providing web-based analytics to help customers better manage their fleets. Our open platform and Geotab Marketplace, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets.
Key Responsibilities:- Develop and maintain new machine learning platforms managing data pipelines and machine learning model workflow for Geotab's internal models.
- Develop processes to enrich Geotab's big data with telematics data at scale.
- Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's machine learning platform and models.
- Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
- Support internal Geotab teams to assist with data integration with newly developed big data platforms.
- 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.
- Process, cleanse, and verify the integrity of data used for prediction and model building.
- Select features, build, and optimize classifiers using machine learning techniques.
- 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.
- 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.
- Post-secondary Degree/Diploma specialization in Computer Science, Software/Computer Engineering, Physics, Statistics, Mathematics, or a related field.
- 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.
- Flexible 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
At Geotab, we have adopted a flexible hybrid working model that supports both in-person and virtual work. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools, and asynchronous working. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms, and gatherings.
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