Description:
As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms.
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.
- 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 fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
- Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, is a big plus
- Familiar with Big Data environments (e.g. Google BigQuery).