Vaultes is looking to transform the customer experience for Veterans by making essential services more accessible and efficient through the design, development, and deployment of cutting-edge AI/Machine Learning solutions.
Requirements
- 3+ years of experience with NLP/NLU frameworks
- Hands-on experience with Conversational AI using platforms such as Genesys Cloud, Google Dialogflow CX, Amazon Lex, Microsoft Bot Framework
- Experience with speech recognition, text-to-speech, and voice biometrics
- Strong programming skills in Python and experience with ML libraries, Rest APIs, and microservices architecture
- Understanding of data governance, model documentation, and Federal security and AI frameworks
- Experience with containerization, version control, and DevOps practices
- Experience with cloud platforms such as Google, AWS, or Azure
Responsibilities
- Design, implement, and deploy voice-enabled machine learning models using Genesys Cloud Services and Genesys Cloud CX capabilities
- Work with large, structured and unstructured datasets from secure government data sources
- Develop and deploy classification models that accurately interpret and categorize user intents across multiple domains
- Develop and integrate RESTful APIs to connect AI models with core CX systems
- Build entity extraction models to capture target information from spoken language.
- Build and maintain data preprocessing, feature engineering, and model training pipelines
- Support integration of ML models into voice platforms and routing engines
Other
- Must be a U.S. Citizen
- Able to obtain and maintain a security clearance
- 5+ years of experience in a relevant engineering or development role
- Experience working in an Agile/Scrum development environment
- Prolonged periods sitting at a desk and working on a computer.
