Software Developer, Machine Learning Ops

Oakville, ON, Canada

Applications have closed
Geotab Inc. logo

Geotab Inc.

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.
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 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, Twitter or Facebook. Join our talent network to learn more about job opportunities and company news.
At Geotab, all staff must be fully vaccinated in order to be eligible to work in our North American offices at this time. Accordingly, any job offer for an onsite position resulting from this posting will be conditional upon the successful candidate providing evidence of full vaccination. Accommodations may be made for those who cannot be vaccinated based on medical or other legally protected grounds. 
Geotab policies and requirements are subject to change based on local or federal guidelines.
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 involve taking research outcomes, models, and analysis from Data Scientists, and putting them into production. You will need to work closely with product managers, data engineers, data scientists, and software developers to gather requirements. 
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.
  • 1-3 years software development experience, primarily in back-end development.
  • 1-3 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).
  • Strong SQL skills and some familiarity with No-SQL databases.
  • Solid understanding of probability theory and data modeling.
  • 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.
  • High accuracy and meticulous attention to detail.
  • Highly organized and able to manage multiple tasks and projects simultaneously.
  • Excellent verbal and written communication skills.
  • Strong analytical skills with the ability to problem solve to well-judged decisions.
  • Strong team player with the ability to engage with all levels of the organization.
  • Technical competence using software programs, including  but not limited to, Google Suite for business (Sheets, Docs, Slides).
  • Entrepreneurial mindset and comfortable in a flat organization.
If you don't see yourself fully reflected in every job requirement listed above, we still encourage you to apply.
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonus & parental leave top up programHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. 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 careers@geotab.com. Click here to learn more about what happens with your personal data.

Tags: Airflow APIs Big Data BigQuery Data Analytics Data pipelines Docker Engineering Linux Machine Learning ML ML models MLOps NumPy Pandas Pipelines Plotly Probability theory Python Research Scikit-Learn SciPy Security SQL Statistics TensorFlow Testing

Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events

Region: North America
Country: Canada
Job stats:  4  0  0

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