Associate AI Solution Engineer

at  Syneos Health Commercial Solutions

QUALIFICATIONS:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Equivalent work or research experience will also be considered.
• Technical Skills:
• Strong proficiency in Python.
• Proficiency in web technologies (HTML/CSS/JS and general build/deployment methods) is a secondary consideration, but would be seen as valuable
• Experience with developing and fine-tuning custom GPT models or other large language models.
• Familiarity with retrieval-augmented generation (RAG) techniques.
• Experience with AI/ML platforms such as Google Colab and Pinecone.
• Knowledge of OpenAI products and how to leverage them for various use cases.
• Soft Skills:
• Strong problem-solving abilities and creativity.
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• A collaborative mindset and the ability to work effectively in a team environment.
• A passion for learning and staying current with the latest advancements in AI and technology.

• AI Research and Development: Conduct research in AI-related fields to stay up-to-date with the latest trends and technologies. Explore new ways to apply AI within the advertising space.
• Custom GPT Development: Develop and fine-tune custom GPT models for specific use cases within the agency, ensuring they meet the needs of various projects.
• Prototyping RAG Solutions: Explore and prototype solutions using retrieval-augmented generation (RAG) to enhance our AI capabilities.
• Integration and Implementation: Work with platforms like Google Colab, OnRender, Netlfiy and Pinecone to integrate and implement AI solutions within our existing technology stack.
• Collaboration: Collaborate with cross-functional teams, including creative, strategy, and user experience, to understand their needs and provide AI-driven solutions. This role will be highly collaborative and offers a great way to get exposure to how various aspects of healthcare communications works.
• Documentation and Presentation: Document your research and development work, and present your findings and prototypes to the team for feedback and iteration.