✨ About The Role
- The role involves architecting, building, and maintaining real-time conversational AI systems for an automated order taker.
- The engineer will conduct applied research on new customer-facing challenges encountered by the company.
- Leading product adoption of the latest generative AI and machine learning research will be a key responsibility.
- The position requires close collaboration with customers to analyze data and continuously improve model performance and customer experience.
- Implementing machine learning best practices to ensure the maintainability of ML systems in production is expected.
⚡ Requirements
- The ideal candidate will have strong Python and production-level software engineering expertise.
- A deep understanding of large language models (LLMs), prompt engineering, and modern natural language processing (NLP) is essential.
- Proficiency in Kotlin or Java is required, along with a proven track record of deploying machine learning systems to real-world applications.
- The candidate should have experience solving complex technical challenges in ambiguous environments.
- Strong collaboration and communication skills are necessary for working effectively with team members and external stakeholders.
- An empathetic approach towards users and a customer-centric mindset in product development will be crucial for success.