Position Code: 86BY27FRC

Organisation Description:

Welcome to our pioneering consulting firm, committed to crafting comprehensive ecosystem services that enhance financial, physical, and mental wellness. At the core of our expertise lies the creation of seamless digital ecosystems fuelled by AI-driven insights, fostering a holistic approach to total wellness. Join us as we shape tailored business ecosystems, develop robust data ecosystems, and implement General AI technologies for operations primed for the future.

Role:

AI and Data Science Intern

Internship Description:

  1. Data Preparation and Management:
    • Assist in gathering, refining, and organising data sets for training AI models.
    • Support the setup and upkeep of databases and data storage solutions, ensuring data integrity and accessibility for AI applications.
  2. AI Model Development Support:
    • Collaborate in refining and fine-tuning AI models, including LLMs and other machine learning models, under the guidance of senior team members.
    • Contribute to integrating RAG techniques to enhance model performance through external knowledge sources.
  3. Research and Evaluation:
    • Conduct thorough research into the latest advancements in General AI, LLMs, RAG, and vector databases to identify potential solutions and enhancements for ongoing projects.
    • Evaluate diverse AI models and algorithms to determine their suitability for various tasks within copilot development.
  4. Presentation and Proposal Development:
    • Aid in crafting engaging presentations and compelling proposals by synthesising research findings, model performance metrics, and potential AI application use cases.
    • Assist in visualising data and model outputs for clear and effective communication with stakeholders.
  5. Prototype Development and Testing:
    • Participate in prototyping new AI features or copilots using relevant programming languages and tools.
    • Conduct rigorous testing and validation of AI models and features to ensure compliance with specified requirements and performance standards.
  6. Documentation and Knowledge Sharing:
    • Contribute to documenting development processes, model architectures, and configuration settings for internal reference and potential team knowledge sharing.
    • Assist in creating educational materials or guides for team members on the effective use and development of AI-driven products.

Internship Requirements

  • Educational Background: Currently enrolled in an undergraduate programme related to Computer Science, Data Science, or Artificial Intelligence. A foundation in these fields through coursework or projects is advantageous.
  • Technical Skills: Proficiency in at least one programming language, preferably Python, given its widespread use in AI and data science; basic understanding of AI concepts, including principles of machine learning and rudimentary chatbot functionality.
  • Research and Learning Aptitude: Enthusiasm for exploring emerging AI technologies, with a proactive approach to self-directed learning and research under guidance; curiosity about AI trends, particularly in areas like General AI, LLMs, and fundamental data handling techniques.
  • Communication Skills: Strong communication skills to actively contribute to team discussions and effectively prepare documentation or presentations.
  • Collaborative Spirit: Ability to thrive in a collaborative team environment, embracing feedback and fostering a collaborative problem-solving ethos.
  • Tools and Technologies: Eagerness to learn and utilise AI-related tools and platforms, with a readiness to familiarise oneself with APIs and basic data management practices. Previous experience is not mandatory, but a willingness to learn is crucial.
  • Problem-Solving Skills: Demonstrated problem-solving abilities and a logical approach to addressing challenges encountered during development tasks.

Don’t exactly match these requirements? If you have the enthusiasm and want to learn – then speak to Pagoda about this position and we’ll see what is possible!