Senior Conversational AI Scientist - Remote (Banking)

Acunor Inc.; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

Acunor Inc. is seeking a hands-on Senior Data Scientist to design, develop and improve agentic conversational AI solutions within a banking-like environment. The role focuses on Amazon Connect, Amazon Lex, agentic prompts, and NLU/tuning for IVR applications.

You will analyze interaction data, run experiments and refine NLP assets to raise conversational quality, delivering with leadership and business stakeholders while driving delivery priorities in a fast-paced setting.

Qualifications

• 5+ years of data science, ML, NLP or related field.
• Experience building GenAI solutions.
• Strong analytics, experimentation and model evaluation skills.
• Experience delivering conversational AI, NLU, chatbots or IVR.

Responsibilities

• Support end-to-end conversational AI capabilities for IVR built on Amazon Connect/Lex.
• Design, run, and interpret experiments on intent recognition and prompt handling.
• Analyze data, model outputs and test results to identify issues and improvements.
• Tune intents, training data, prompts and related NLU assets.
• Collaborate with leads to refine slot-filling approaches and delivery priorities.
• Evaluate LLM/GenAI capabilities supporting NLU and understanding.
• Present findings and performance results to leadership and stakeholders.
• Identify risks and help manage project timelines.

Skills

Data science

Machine learning

NLP

GenAI

NLU

Amazon Connect

Amazon Lex

Python

Experimentation

Model evaluation

IVR use cases

Conversation AI

Job description

Acunor Inc. is seeking a hands-on Senior Data Scientist to design, develop and improve agentic conversational AI solutions within a banking-like environment. The role focuses on Amazon Connect, Amazon Lex, agentic prompts, and NLU/tuning for IVR applications.

You will analyze interaction data, run experiments and refine NLP assets to raise conversational quality, delivering with leadership and business stakeholders while driving delivery priorities in a fast-paced setting.