Cognitive Intent Recognition Designer

2 weeks ago

Hyderabad, Telangana, India Multi Recruit Full time
Roles and Responsibility

Within the Shared Services division you will work on ourconversational AI product, to drive improvements in quality, classification,information structure, and natural language understanding.

Our cognitivevirtual assistant is Amelia who listens and interacts with people to solveproblems. Technology reads natural language, understands context, applieslogic, infers user intention, extracts information, learns through experienceand senses emotions.

The skills expected of Analytical Linguists could comefrom a variety of different backgrounds ranging from linguistics, libraryscience, engineering, or data science.


Responsibilities:


Develop A best practice approach for selecting, designing,and implementing use cases with the goal of achieving consistent high intent recognition.

Manage the processes used to generate, groom, andvalidate high quality, efficient utterances for new intent classes andimprovements to existing ones; provide feedback to team members working onthese efforts.

Ownership for methods used to design and optimize modelsand advise on how to make measurable improvements.
Develop command of the platform's Machine Learning andrelated applications. Tests technologies and communicates actively with productteam to drive enhancements.
Stay current on advances within the platform todisseminate intent education to team members and stakeholders where appropriate.
Create and maintain validation datasets and track modelstatistics over time to prove performance gains and create improvement strategies.
Advise lines of business during the planning of new usecases and support them during implementation.
Work with engineers to optimize model data and structures.
Craft performance benchmarks to maintain a universalsystem of measurement and means for identifying and tracking improvement.
Drive innovation for the processes used to work onintents/entities and recommend/document any improvements.
Document best practices to develop the capabilities ofother team members.

Qualifications:
Advanced knowledge of the English language and ability totroubleshoot language-based data or applied linguistics background.
Strong attention to detail along with a strategicperspective of the big picture
Experience with setting up studies to systematicallyexperiment to solve problems with little direction or oversight.
Experience with or aptitude to learn about chat-basedartificial intelligence systems and how intent recognition fits into these systems.
Comfort with statistics and interpreting statistical datato draw conclusions.
Preferred Qualifications
General understanding of machine learning core concepts(accuracy, precision, recall, overfitting, underfitting)
Experience applying supervised machine learningtechniques to real world problems.
Appreciation for user experience design implications ofdesigning an intent model (user mental models)
Some experience in software delivery/implementation is anadvantage.

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