- Assist and implement Generative AI solutions tailored to telematics applications, with guidance from senior team members.
- Develop and refine generative AI models using established machine learning and deep learning techniques.
- Assist in implementing 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, providing insights for optimization.
- Contribute to the development of evaluation systems to assess model output quality and product experience.
- Work with software developers, AI engineers to integrate generative AI solutions into telematics platforms.
- Participate in cross-departmental projects, contributing as a data science expert under the direction of senior team members.
- Document research, methodologies, model design, and experimental results to maintain comprehensive records.
- Stay informed on industry trends and advancements in generative AI and prompt engineering, applying best practices to development cycles.
- Implement statistical or mathematical methodologies for data analysis models, following established practices.
- Develop algorithms and predictive models to solve business problems, with oversight from senior staff.
- Conduct A/B tests or other experimental approaches to identify root causes of issues, reporting findings to senior data scientists.
- Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
- Collaborate with cross-functional teams to integrate AI technologies into platforms, contributing to personalized user experiences.
- Bachelors Degree in Data Science, Mathematics, Computer Science, Statistics, or related field.
- 3-5 years of previous experience in Data Scientist or similar role.
- 3-5 years of experience with writing SQL queries, programming in Python.
- 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 contributing to generative AI projects, including model fine-tuning and basic model adjustments for specific applications.
- Familiarity with prompt engineering for both closed-source (e.g., GPT) and open-source models.
- Proficiency in deploying models using cloud services (e.g., GCP, Azure, AWS) with a focus on scalability.
- Basic knowledge of data management practices, including building datasets and evaluating model performance.
- Understanding of AI frameworks and libraries such as PyTorch and TensorFlow, with an emphasis on practical application.
- Solid grasp of machine learning principles, statistical analysis, and predictive modeling.
- Awareness of ethical considerations in Generative AI, including data privacy and bias detection.
- Strong communication skills for collaboration within teams and with stakeholders.
- Attention to detail and analytical thinking to support decision-making processes.
- Team-oriented mindset with the ability to collaborate effectively across different levels of the organization.
- Willingness to stay updated on new technologies and adapt to evolving market demands.
- 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