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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and tuning conversational AI solutions using Amazon Connect and Amazon Lex, with a strong focus on data analysis, model evaluation, and performance optimization. Capable of collaborating effectively in cross-functional teams to deliver high-quality NLU and intent understanding capabilities.
Highest-signal resume keywords
Conversational AIAmazon ConnectAmazon LexData ScienceMachine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Natural Language ProcessingIntent RecognitionSlot-FillingPerformance TuningPythonData AnalysisModel EvaluationExperimentationPrompt-Based EvaluationLLM Techniques
Soft Skills
CommunicationCollaborationAnalytical Rigor
Industry Keywords
GenAIChatbotVirtual AssistantIVRNLU
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Support end-to-end delivery of Agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Amazon Lex
- Run and interpret experiments related to intent recognition, slot-filling performance, utterance handling, and conversational quality
- Analyze interaction data, model outputs, and test results to identify issues and improvement opportunities
- Tune intent descriptions, training data, prompts, and related NLU assets
- Collaborate with the onshore lead to refine slot-filling approach, conversation behavior, and delivery priorities
- Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU and intent understanding
- Prepare summaries of findings, recommendations, and performance results for leadership and project stakeholders
- Identify risks, resolve issues, and maintain analytical rigor to support delivery timelines
Requirements
What you’ll need- 5+ years of experience in data science, machine learning, NLP, or a related field
- 2+ years of building GenAI solutions
- Strong hands-on experience with analytics, experimentation, model evaluation, and performance tuning
- Experience with conversational AI, NLU, chatbot, virtual assistant, or IVR use cases
- Strong familiarity with Amazon Connect and Amazon Lex, or highly comparable experience with similar conversational AI platforms
- Exposure to LLM, GenAI, or modern NLP techniques relevant to intent understanding and conversational AI
- Ability to ramp up quickly and contribute immediate value in a delivery-oriented environment
- Strong written and verbal communication skills, including the ability to present work clearly to leadership and partner teams
- Experience tuning intent classification, slot-filling, fallback handling, or dialogue behavior in production environments
- Strong Python and data analysis skills for experimentation, reporting, and model evaluation
- Experience supporting prompt-based evaluation or LLM-assisted NLU workflows
- Experience working in cross-functional delivery teams with onshore/offshore collaboration models
Benefits
Comp & perks- Discretionary bonus eligibility
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Benefits effective on the first day of employment
- 401(k) plan eligibility after 30 days of employment
- 11 paid holidays
- 12 weeks of parental leave
- “Free time” PTO policy for sick time or vacation