Vaultes

Machine Learning Engineer

Vaultes

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudCyber SecurityJavaScriptMicroservicesPython

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.
  • 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

Requirements

  • 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