Team Lead Machine Learning Operations
Team Lead Machine Learning Operations
Posted on :
07-04-2025
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1 Vacancy
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Job Description
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 webbased analytics to help customers better manage their fleets. Geotabs open platform and Geotab Marketplace offering hundreds of thirdparty 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 were 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 its like to be a Geotabber check out ourblogand follow us @InsideGeotab onInstagram. Join ourtalent networkto 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 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 youll 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 selfstarter 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 youll 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 Geotabs Big Data infrastructure on Google BigQuery using Python and SQL.
- Interact with other Geotabs 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. Scikitlearn 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 adhoc 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.
What youll bring to the role
- Postsecondary Degree/Diploma specialization in Computer Science Software/Computer Engineering Physics Statistics Mathematics or a related field.
- 58 years experience in applied machine learning working with large datasets to solve realworld problems.
- 58 years experience in deep learning frameworks ML libraries and computing frameworks.
- Leadership experience in a teamoriented workplace.
- Demonstrated knowledge of relevant libraries and operating systems.
- Familiarity with SQL and NoSQL 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.
If you got this far we hope youre feeling excited about this role! Even if you dont feel you meet every single requirement we still encourage you to apply.
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
Why job seekers choose Geotab
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 fulltime permanent employees only
How we work
At Geotab we have adopted aflexible hybridworking model in that we have systems functions programs and policies in place to support both inperson 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 cloudbased applications collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage worklife 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 By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively Geotab) you acknowledge Geotabs collection use and disclosure of your personal data in accordance with our . Click hereto learn more about what happens with your personal data.
Employment Type
Full Time
Key Skills
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