Who we are
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
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Geotab cares about your safety. You may be required to be vaccinated based on the nature of your work (ex: travel requirements) or due to changing local governmental health requirements.
Who you are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Software Developer, Machine Learning Ops who will assist in building, implementing, testing, and maintaining scalable data pipelines and MLOps tools. 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 Software Developer, Machine Learning Ops your key area of responsibility will be taking research outcomes, models, and analysis from Data Scientists, and putting 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.
How you’ll make an impact
Accountable for the design, development, and maintenance of scalable production machine learning pipelines and MLOps tools.
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.
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.
What you’ll bring to this role
Post-secondary Degree/Diploma specialization in Computer Science, Software/Computer Engineering, Physics, Statistics, Mathematics, or a related field.
3-5 years software development experience, primarily in back-end development.
3-5 years experience in data science tools, ML libraries, and computing frameworks.
Competent with Linux, and good understanding of common Python data libraries (e.g. pandas, numpy, scipy, plotly, scikit-learn).
Proficient SQL skills and some familiarity with No-SQL databases.
Experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
A keen interest in AI/ML, or prior experience developing data and ML pipelines.
Working knowledge of Docker, CI/CD, and Airflow would be a big plus.
API design and web development experience is not required but would be good to have.
Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
Why job seekers choose Geotab
Work from home and flex work arrangements
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
How we work
At Geotab, we have adopted a flexible first
working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. 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. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at firstname.lastname@example.org. Click here
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