Senior Data Platform Developer, Generative AI
Oakville, Ontario - Canada
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Geotab
Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior 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 ā we would love to hear from you!
What you'll do:The Senior Data 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 Geotabās AI platform infrastructure.
- Develop processes to enrich Geotabās 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.
- 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.Ā
- 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.
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 aĀ flexible hybridĀ 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! Ā 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 ā 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, āGeotabā), you acknowledge Geotabās collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. ClickĀ hereĀ to learn more about what happens with your personal data.* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: APIs Architecture Big Data BigQuery Computer Science Data Analytics Data management Docker Engineering GCP Generative AI Google Cloud Kubernetes Linux LLMs Machine Learning ML models Privacy Python Security Streaming Vertex AI
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Team events
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