QUALIFICATIONS

• 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
• 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
• Experience working in an Agile/Scrum development environment

PHYSICAL REQUIREMENTS

Prolonged periods sitting at a desk and working on a computer.
Capable of operating a computer and other office productivity machinery, and frequently communicate with co-workers, management, and customers.
Vaultes provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, ancestry, national origin, citizenship, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, religion, age, disability, genetic information, service in the military, or any other characteristic protected by applicable federal, state, or local laws and ordinances

ABOUT THE ROLE

As a member of our dynamic tech team, you will work collaboratively with team members and stakeholders to support a mission-critical initiative making essential services more accessible and efficient. You will be a key part in the design, development, and deployment of cutting-edge AI/Machine Learning solutions to transform the customer experience for Veterans.
This is a full-time position contingent on contract award. The position is remote within the contiguous United States.
Requirements:

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
• Contribute to documentation, compliance, and security processes
• Develop and maintain A/B testing frameworks to support data-driven decision making and ongoing product optimization
• Apply federated ML techniques to train models while preserving the privacy of PII
• Develop scalable, high performing, and reliable ML infrastructure
• Create conversational models that are context-aware and are capable of maintaining dialogue across multi-turn interactions
• Collaborate cross-functionally with product managers, UX designers, and data scientists to deliver innovative solutions
• Other responsibilities as assigned