Senior Data Platform Developer - AI Platform

Who we are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

• 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.

How you'll make an impact:

To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

What you'll bring to the role:

• A 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.
• 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
• 3-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
• Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
• Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
• Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).

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

How we work:

Geotab offers a variety of benefits including 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, and retirement savings program. These benefits are offered to full-time permanent employees only.