Role: AI Integration Specialist
Location: Queensland (QLD)
Position Type: Full-Time, Permanent
Salary: Up to $160,000
Are you passionate about working in a dynamic, fast-paced start-up environment? Do you thrive on solving complex problems and adapting to rapidly changing priorities? If so, this is the perfect opportunity to join an innovative team and shape the future of their projects!
About the Role: The company is seeking an AI Integration Specialist to join their fast-paced team and play a pivotal role in driving the development of cutting-edge technology. The successful candidate will deploy LLM (Large Language Models) techniques to organise and transform large datasets, collaborate with the team on image classification and recognition systems, and integrate LLMs within their data warehouse (preferably Snowflake). The role requires an individual who can work independently, adapt quickly to changing priorities, and solve complex data challenges within a start-up environment.
Key Responsibilities: - Work with LLM techniques to bring order to large, unstructured datasets.
- Develop and deploy image classification and recognition systems.
- Implement and integrate LLMs within a data warehouse, with a preference for Snowflake.
- Tackle data challenges and provide independent solutions.
- Collaborate with cross-functional teams to drive data-driven insights.
- Adapt to evolving business priorities in a fast-paced, start-up environment.
Required Skills & Experience: - Proven experience in a start-up environment with an ability to thrive in a high-change setting.
- Expertise in LLM techniques and their application to data organisation.
- Hands-on experience in developing and deploying image classification and recognition systems.
- Previous experience deploying LLMs within a data warehouse, particularly Snowflake.
- Strong problem-solving skills with the ability to work independently.
Desirable Skills: - Experience working with spatial data tools such as ArcGIS, QGIS, Google Earth, Mapbox, etc.
- Familiarity with RAG (Retrieval-Augmented Generation) techniques (for future use).