At a Glance
- Tasks: Lead a team to build and maintain scalable ML pipelines and AI solutions.
- Company: Join Geotab, a leader in innovative tech with a collaborative spirit.
- Benefits: Enjoy flexible work, health benefits, and online learning opportunities.
- Other info: Great career growth and a supportive team environment await you.
- Why this job: Make an impact by turning data science into real-world applications.
- Qualifications: 5-8 years in machine learning and leadership experience required.
The predicted salary is between 123750 - 151250 $ per year.
Who you are
Geotab is seeking a Team Lead, ML Ops who will mentor and coach a team that is responsible for building, implementing, testing, and maintaining scalable data / ML pipelines.
What you’ll do
The Team Lead, ML Ops will take research outcomes, models, and analysis from Data Scientists, and put them into production.
Responsibilities
- 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 Big Query 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.
Qualifications
- 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.
Benefits
- 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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Team Lead, ML Ops in Oakville employer: Geotab Inc.
Geotab is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements and a range of benefits including competitive medical and dental plans, retirement savings programs, and opportunities for professional growth through online learning. Located in a vibrant community, Geotab encourages innovation and collaboration, making it an ideal place for passionate individuals to thrive and make a meaningful impact in the field of IoT and connected transportation.
