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Data Platform Developer, GenAI Platform

Geotab

Oakville

Hybrid

CAD 80,000 - 120,000

Full time

4 days ago
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Job summary

A leading company in IoT and connected transportation is seeking a Data Platform Developer to enhance their big data infrastructure. This role involves building an internal machine learning and AI platform, collaborating with data scientists, and contributing to technological innovations within a diverse team.

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

Qualifications

  • 3-5 years experience in a software developer role.
  • Experience in developing production-level systems using Python.
  • Strong analytical skills and ability to problem solve.

Responsibilities

  • Develop and maintain machine learning platforms.
  • Implement logging, monitoring, and alerting for the AI platform.
  • Create documentation for architecture, requirements, and process flows.

Skills

Python 3
Machine Learning
Generative AI
Data Management
Problem Solving
Communication

Education

Post-secondary Degree in Computer Science or related field

Tools

Docker
Kubernetes
OpenShift
Google BigQuery

Job description

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 ourblog and follow us @InsideGeotab onInstagram . Join ourtalent 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 support our big data infrastructure on Google Cloud 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 AI Platform Developer will be building the Geotab internal machine learning and generative AI platform which allows all the Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build Geotab GenAI agent applications for internal services and end customers in production.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
  • Develop processes to enrich Geotab’s big data with telematics data at scale.
  • 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 AI 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 a software developer or a similar role.
  • 3-5 years experience in developing production-level systems using Python 3
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of large language models and generative AI related frameworks and tools such as Langgraph, CrewAI, LiteLLM, is a big plus
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, is a big plus
  • Experience with API design and implementation is a plus.
  • Knowledge of Linux/Unix OS and shell/command language is preferred.
  • Knowledge of data management fundamentals and data storage principles.
  • Knowledge of batch and streaming data architectures.
  • Familiar with Big Data environments (e.g. Google BigQuery).
  • Knowledge of data management fundamentals and data storage principles is preferred.
  • Excellent oral and written communication skills.
  • Strong analytical skills with the ability to problem solve well-judged decisions.
  • Highly organized and able to manage multiple tasks and projects simultaneously.
  • Strong team player with the ability to engage with all levels of the organization.
  • Entrepreneurial mindset and comfortable in a flat organization.
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.

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 full-time permanent employees only

How we work

At Geotab, we have adopted a flexible hybrid 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 careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy . Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

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Note to USA Applicants: This is a separate survey from the EEO-1 Voluntary Self Identification Form used in the United States for compliance purposes. We feel that the options found in the mandated survey do not encompass the rich diversity of our applicants, and as such strive to provide additional responses that reflect the landscape more accurately.

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