• Industry: Banking & Finance
• Job title: Application Architect
• Location: Kennesaw,GA
• Duration: 12 months(+ possible extension)
• Hybrid: 3  onsite/ 2  remote

About the Role:

• EET EDSS Cognitive Linguist will be responsible for building and maintaining a model for a conversational AI virtual assistant to accurately identify end-user intent. The candidate will automate updating the classifier periodically throughout development lifecycles.

Responsibilities: 

• Write code using Python/JavaScript, develop algorithms, identify and build appropriate datasets, train machine learning models, and implement to production.
• Build and maintain solid validation sets to test against.Research, experiment, and recommend emerging machine learning algorithms to improve intent recognition.
• Collaborate with data scientists, UX researchers, and engineers to build out the “brain” of a virtual assistant.
• Develop tools and telemetry to measure/monitor accuracy and performance.

Education Qualification:

• Technical Agile tools (Jira),Python years.Technical by default DevOps 

Required:

• Familiarity with Python and predictive modeling.
• Working knowledge of natural language processing and conversational interfaces.
• Experience using machine learning algorithms for data classification including linear SVN.
• Experience improving intent recognition of a data classification model. - Experienced in DevOps and Agile methodology.
• Excellent written and verbal communication skills.
• Strong analytical and troubleshooting skills.
• Familiarity with version control technologies such as SVN, Git, or JIRA. - Unique skillset in computational linguistics and technical experience.