Senior Data Scientist Generative AI
Senior Data Scientist Generative AI
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Who we are
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist Generative AI who will Design and develop generative AI models using advanced machine learning and deep learning techniques. The projects will vary in scope complexity and affected business area. If you love technology and are keen to join an industry leader we would love to hear from you!
What youll do:
As a Senior Data Scientist Generative AI your key area of responsibility will be to implement advanced data science solutions that drive innovation and efficiency within the telematics industry. The Senior Data Scientist is accountable for 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. Key responsibilities include leveraging advanced Gen AI techniques collaborating with crossfunctional teams to apply Gen AI to the development of new products and services in addition to continuously improving model performance through systematic testing and refinement. The Senior Data Scientist is expected to stay at the forefront of Gen AI research to continue to introduce cutting edge solutions to Geotab clients. You will need to work closely with with software developers AI engineers and stakeholders to integrate generative AI solutions into telematics platforms.
To be successful in this role you will be a selfstarter with strong written and verbal communication skills and have the ability to quickly understand complex technical concepts. In addition the successful candidate will have strong analytical and project management skills with an ability to identify needs develop effective solutions and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How youll make an impact
- 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 LLMpowered 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 crossdepartmental 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 crossfunctional teams to seamlessly integrate AI technologies into platforms ensuring personalized user experiences.
- Maintain comprehensive documentation of research methodologies model design and experimental results.
What youll bring to the role
- 58 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 preLLM NLP models like word2vec or GloVe.
- Masters in Data Science Mathematics Computer Science Statistics or related field.
- Experience with OpenAIs 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 realworld applications including finetuning and distilling models.
- Expertise in prompt engineering closedsource models (e.g. GPT) or opensource 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 welljudged decisions.
- Strong teamplayer 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.
Why job seekers choose Geotab
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to fulltime permanent employees only
How we work
Required Experience:
Senior IC
Employment Type
Full Time
