Team Lead, Data Science (Generative AI) at Geotab

Oakville, Ontario, Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

IoT, TransportationIndustries

Requirements

Strong technical expertise in Generative AI, deep learning, prompt engineering, and Retrieval Augmented Generation (RAG)
Experience leading a technical team of data scientists, including mentoring and owning technical delivery
Proficiency in designing, developing, and optimizing complex data models and robust, scalable, secure AI architectures
Strong problem-solving and statistical analysis skills to meet critical business needs
Ability to translate strategic business goals into actionable Generative AI solutions for the telematics industry
Knowledge of AI safety, performance optimization, efficiency, latency, and evaluation systems for model quality and user experience
Engagement with the AI research community to integrate cutting-edge advancements and best practices

Responsibilities

Lead Geotab’s Generative AI Engineering team in developing a clear technical roadmap
Translate strategic business goals into actionable and innovative Generative AI solutions for the telematics industry
Design and implement robust, scalable, and secure architectures for AI-powered systems, optimized for performance, efficiency, and safety
Research, develop, and implement novel Generative AI solutions, championing techniques like prompt engineering and RAG
Establish and maintain a high technical bar for the team's output, leading the design of objective evaluation systems
Continuously monitor and integrate advancements in generative AI, deep learning, and prompt engineering into the development lifecycle
Drive cross-functional projects, ensuring alignment with organizational goals and delivery of innovative products in telematics
Receive strategic guidance from senior leadership while mentoring the team to reach their full potential and upholding high technical standards

Skills

Data Science

Generative AI

Machine Learning

Data Analytics

Analytical Models

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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