Data Scientist/AI Trainer

We are seeking a customer-facing Data Scientist/AI Trainer to join our Professional Services team, focusing on advanced Conversational AI implementations. The ideal candidate will possess a strong background in Natural Language Processing, Python development, and a deep understanding of modern AI technologies. In this role, you will be responsible for designing, building, and optimizing Five9's AI-based solutions. You will work closely with Developers and Conversation Designers, leveraging your expertise in Speech-to-Text (STT), Text-to-Speech (TTS), and Large Language Model (LLM) prompting and evaluations to ensure the highest levels of accuracy and performance in our intelligent virtual agents and agent-guided solutions.

Responsibilities:

• Develop and maintain Python code for data analysis, model evaluation, and the automation of AI workflows.
• Design, implement, and evaluate sophisticated prompts for Large Language Models (LLMs) to optimize performance across various conversational tasks.
• Integrate and fine-tune Speech-to-Text (STT) and Text-to-Speech (TTS) models to ensure high-quality, natural-sounding voice interactions.
• Implement and improve robust methods to quantitatively and qualitatively compare and evaluate LLM outputs.
• Collaborate with Data Scientists and Engineers to identify technical requirements, prioritize tasks, and architect scalable AI solutions.
• Create and curate multilingual speech and text datasets to train and benchmark models.
• Evaluate, recommend, and implement machine learning models for tasks such as topic modeling, summarization, and intent classification.
• Develop data visualization tools and dashboards to monitor model performance and provide insights to stakeholders.

Minimum Qualifications:

• Master's degree in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics, or a similar technical field.
• Proven experience in Python programming for data science, machine learning, or software development.
• Solid understanding of Conversational AI concepts and the underlying technologies.
• Strong attention to detail and a commitment to maintaining high-quality standards in code and model performance.
• Demonstrated ability to work independently and as part of a collaborative, customer-facing team.
• Excellent technical communication skills.
• Fluent in English, both written and spoken.

Preferred Qualifications

• Graduate degree or higher in Computer Science, Computational Linguistics, or a related field.
• Fluency in Spanish and/or Portuguese.
• Deep hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniques.
• Expertise in Speech-to-Text (STT) and Text-to-Speech (TTS) technologies and their practical application in conversational AI systems.
• Proficiency with ML libraries and platforms such as Scikit-learn, TensorFlow, PyTorch, R, Jupyter, and SQL.
• Experience in a customer-facing role, including technical requirement gathering and presentations.
• Experience with bot frameworks such as IBM Watson, Amazon Lex, Rasa, or Google Dialogflow.