Senior Data Platform Developer, Generative AI at Geotab

Atlanta, Georgia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

IoT, TransportationIndustries

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
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 (big plus)
Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock (big plus)
Experience with API design and implementation (plus)
Knowledge of Linux/Unix OS and shell/command language (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)

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

Skills

Google Cloud Platform

Big Data

Generative AI

Machine Learning

Data Analytics

IoT

Data Infrastructure

Geotab

Telematics and fleet management solutions provider

About Geotab

Geotab provides fleet management solutions that help businesses optimize their vehicle operations through telematics and data analytics. Their products include hardware devices, like GO devices, and software that collects and analyzes vehicle data. This data helps clients with route planning, monitoring driver behavior, improving fuel efficiency, and managing vehicle maintenance. Geotab stands out from competitors by offering a scalable platform suitable for fleets of all sizes and a subscription model that ensures ongoing updates and support. The company's goal is to enhance operational efficiency and safety for a diverse range of clients, including commercial fleets and government agencies.

Oakville, CanadaHeadquarters

2000Year Founded

M_AND_ACompany Stage

Data & Analytics, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

Medical & dental

Retirement savings

Fitness membership

Baby bonus

Flex work arrangements

Home office reimbursement for select items

EV program

Learning reimbursement

Risks

Patent infringement lawsuit by Fractus could lead to financial liabilities.

Dependency on Volvo Cars partnership may pose risks if challenges arise.

Expansion into Indonesia exposes Geotab to geopolitical and regulatory risks.

Differentiation

Geotab offers a comprehensive telematics platform with both hardware and software solutions.

The company serves diverse clients, including commercial fleets and government agencies.

Geotab's solutions are scalable, suitable for small businesses to large enterprises.

Upsides

Geotab's partnership with Volvo Cars enhances its fleet management capabilities.

Winning the Prince Michael International Road Safety Award boosts Geotab's reputation.

Integration of AI in telematics allows for predictive analytics and route optimization.

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