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Data Scientist

3 weeks ago

Bunbury, Western Australia beBeeArtificial Full time $150,000 - $240,000
AI Development Role

We are seeking a talented individual to design, build, and scale real-world applications powered by large language models (LLMs).

  • Collaborate with cross-functional teams to identify high-impact AI use cases benefiting from LLM capabilities.
  • Understand domain challenges and develop AI solutions to assist.
  • Design and build software applications and APIs leveraging LLMs.
  • Implement prompt engineering strategies and optimisation techniques for specific business tasks.
  • Create autonomous agents capable of planning, reasoning, and executing complex multi-step tasks.
  • Integrate LLM-powered features into new or existing products with strong UX considerations.
  • Develop evaluation frameworks to test LLM output quality, relevance, and safety.
  • Stay updated on LLM advancements and contribute to internal best practices and technical strategy.
About You

You are a software engineer with a builder's mindset and a passion for AI. While you may not be a deep learning researcher, you are excited to turn LLMs into useful products. You can clearly communicate and present ideas, progress, and results to both technical and non-technical audiences.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • Full working rights for Australia.
  • 3+ years of professional software or ML engineering experience.
  • Strong proficiency in Python (preferred) or TypeScript/JavaScript.
  • Experience integrating APIs, especially LLMs.
  • Familiarity with modern backend frameworks.
  • Understanding of prompt engineering and basic model evaluation.
  • Experience with cloud platforms.
  • Experience with AI development tools and libraries.
Preferred Qualifications
  • Understanding of embeddings, vector databases, and retrieval-augmented generation (RAG).
  • Experience with front-end frameworks for building user-facing LLM tools.
  • Experience with MLOps practices such as model versioning, monitoring, evaluation pipelines, and CI/CD.
  • Familiarity with model fine-tuning or training using libraries like Hugging Face Transformers.
  • Knowledge of data privacy and security concerns when deploying AI applications.
Your Benefits

This role offers the opportunity to work with cutting-edge technology and collaborate with a team of experienced professionals.

You will have the chance to:

  • Continuously learn and improve your skills in AI and related areas.
  • Work on diverse projects and contribute to the development of innovative AI-powered solutions.
  • Participate in regular feedback sessions to ensure your growth and success in the role.