Senior Data Scientist, Generative AI Specialist

4 weeks ago

Oakville, Ontario, Canada Geotab Inc. Full time
About the Role

We are seeking a highly skilled Senior Data Scientist, Generative AI to join our team at Geotab Inc. The ideal candidate will have a strong background in machine learning and deep learning techniques, with experience in designing and developing generative AI models.

The successful candidate will be responsible for implementing advanced data science solutions that drive innovation and efficiency within the telematics industry. This will involve designing and running experiments to enhance Gen AI applications, researching and developing new algorithms tailored to telematics data, and evaluating and optimizing data models for improved performance.

The Senior Data Scientist, Generative AI will work closely with cross-functional teams to integrate generative AI solutions into telematics platforms, ensuring personalized user experiences. The ideal candidate will have strong analytical and project management skills, with the ability to identify needs, develop effective solutions, and manage projects through completion.

Key Responsibilities
  • Research, develop, and implement novel Generative AI solutions tailored to telematics applications.
  • Design and develop generative AI models using advanced machine learning and deep learning techniques.
  • Implement LLM-powered solutions, employing techniques like prompt engineering and Retrieval Augmented Generation (RAG)-based systems.
  • Analyze experimental results to evaluate the effectiveness and accuracy of Generative AI algorithms.
  • Build evaluation systems to assess model output quality and product experience objectively.
  • Design architectures that meet product requirements, balancing considerations such as AI safety and latency.
  • Work with software developers, AI engineers, and stakeholders to integrate generative AI solutions into telematics platforms.
  • Provide project leadership as a subject matter expert (SME), guiding team members and participating in cross-departmental projects.
  • Mentor team members on best practices for AI product development.
  • Generate detailed reports and presentations to communicate the impact and value of generative AI solutions to stakeholders.
  • Stay updated on industry trends and advancements in generative AI and prompt engineering, integrating best practices into development cycles.
  • Engage with the AI research community, applying the latest findings and technologies to AI initiatives.
  • Implement new statistical or mathematical methodologies for data analysis models.
  • Develop algorithms and predictive models to solve complex business problems.
  • Conduct causality experiments using A/B tests or epidemiological approaches to identify root issues.
  • Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
  • Collaborate with cross-functional teams to seamlessly integrate AI technologies into platforms, ensuring personalized user experiences.
  • Maintain comprehensive documentation of research, methodologies, model design, and experimental results.
Requirements
  • 5 - 8+ years in Data Scientist or similar role. Writing SQL queries, programming in Python, and building production machine learning models. Experience with transformer models such as BERT and GPT, and pre-LLM NLP models like word2vec or GloVe.
  • Experience with OpenAI's and VertexAI frameworks and APIs.
  • Experience in data augmentation techniques to enhance model training and performance.
  • Proven experience in developing and deploying generative AI projects in real-world applications, including fine-tuning and distilling models.
  • Expertise in prompt engineering closed-source models (e.g., GPT) or open-source models (e.g., Mixtral) for specific application needs.
  • Proficiency in model deployment and cloud services (e.g., GCP, Azure, AWS) for scalable solutions.
  • Knowledge of data management, including building datasets and evaluating model performance.
  • Familiarity with advanced AI frameworks and libraries such as PyTorch, TensorFlow, and Langchain.
  • Solid understanding of machine learning principles, statistical analysis, and predictive modeling.
  • Ability to ensure ethical considerations in Generative AI, including data privacy, bias detection, and model explainability.
  • Strong project management skills, capable of leading projects from conception to completion.
  • Excellent communication skills for effective collaboration across teams and with external partners.
  • High attention to detail and analytical skills, with the ability to make well-judged decisions.
  • Strong team-player with the ability to engage effectively at all organizational levels.
  • Business acumen to align technical initiatives with strategic business objectives.
  • Adaptive mindset to stay current with evolving technologies and market demands.
  • Entrepreneurial mindset and comfort in a flat organizational structure.

Please note: Geotab Inc. does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

About Geotab Inc.

Geotab Inc. is a global leader in IoT and connected transportation. We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together.

We encourage applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training, and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.

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