Senior Data Platform Developer - AI Platform

Geotab•Waterloo, ON

10h•Hybrid

About The Position

Geotab is seeking a Senior Data Platform Developer to build the Geotab internal machine learning and generative AI platform. This role will enable data scientists and generative AI developers to explore, train, and build machine learning models, access Large Language Models, and develop GenAI agent applications for internal services and end customers. Geotab is a global leader in IoT and connected transportation, processing billions of data points daily and leveraging data analytics and machine learning to improve productivity, optimize fleets, enhance driver safety, and ensure regulatory compliance. The company fosters a fast-paced, ever-changing environment where employees are encouraged to take on new challenges and contribute to growth.

Requirements

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.
1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).

Nice To Haves

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.

Responsibilities

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.