Data Platform Developer - C#

About Geotab

Geotab ® is a global leader in IoT and connected transportation and certified “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.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s 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. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who You Are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Platform Developer to develop and maintain new Machine Learning platforms. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What You'll Do

The Data Platform Developer will be building a machine learning platform which supports the machine learning data pipelines and models lifecycle management for the data science team on Google Cloud Platform. This position will devise new methodologies and infrastructure for reconstructing and enriching data at scale, while supporting internal data scientists who leverage the big data environment to build, train, and deploy machine learning models. 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.

How You'll Make an Impact

• Develop and maintain new machine learning platforms managing the 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.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed big data platforms.

What You'll Bring to the Role

• Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
• 3-5 years experience in machine learning platform developer or a similar role.
• 3-5 years experience in developing production-level systems using Python 3
• 3-5 years experience in Tensorflow, PyTorch, Scikit-Learn or similar machine learning frameworks
• 1-5 years experience in either cloud or on-premise machine learning workflow tools such as Vertex AI, SageMaker, Kubeflow, or MLflow.
• 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes