GenAI Researcher
4 weeks ago
About the Role
We are seeking a GenAI/data scientist to contribute to our AI innovation team, focusing on experimenting, optimising and applying off-the-shelf generative AI models to extract valuable insights from large-scale patent datasets and enhance our search and analytics tools.
Responsibilities
- Design, build, and deploy pipelines utilising generative AI models to enhance patent search and analytics applications.
- Collaborate with data scientists, product teams, and stakeholders across different geographies to drive innovation through large language models and advanced AI methodologies.
- Perform continuous evaluations and improvements of models to handle large volumes of patent data.
- Develop and implement machine learning workflows, focusing on the integration of generative AI with existing data infrastructure.
- Develop scalable solutions, focusing on large-scale data processing, using Python, SQL, PySpark and related technologies.
Qualifications:
- Demonstrate 3+ years of experience in data science, with a focus on natural language processing, generative AI and large language models.
- Proficiency in Python and experience working with transformer-based large language models and NLP frameworks.
- Knowledge of prompt engineering, RAG techniques and various evaluation methodologies for integrating generative AI with search/retrieval systems.
- Experience working with cloud platforms like Azure, AWS, or GCP for machine learning workflows.
- Understanding of data engineering pipelines and distributed data processing.
Why Join Us?
We promote a healthy work/life balance across the organisation, offering flexible working hours, generous holiday allowance, health screening, eye care vouchers and private medical benefits, wellbeing programs, life assurance, access to a competitive contributory pension scheme, save as you earn share option scheme, travel season ticket loan, electric vehicle scheme, optional dental insurance, maternity, paternity and shared parental leave, employee assistance programme, access to emergency care for both the elderly and children, RECARES days, giving you time to support the charities and causes that matter to you, access to employee resource groups with dedicated time to volunteer, and access to extensive learning and development resources.
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