Senior Associate, AI Engineer
PwC
CloudDockerKubernetesMicroservices
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
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