Conversational Scientist

Job description:

• Bachelor's degree in Computer science or equivalent, with minimum 10+ Years of relevant experience.
• Must have Strong Experience in Nuance Recognizer, Nuance Dragon Voice, Nuance SpeechSuite or like NLU vendors
• You should have a Scripting language such as Perl
• Good Experience in Linux and Windows and JavaScript/ECMAscript for grammar development and testing
• Strong Experience on Focusing on improving the accuracy of how the system interprets spoken words and phrases from callers/webchat users, allowing for more natural and efficient customer interactions.
• Collecting large datasets of voice samples to train speech recognition models, ensuring they can accurately identify different accents, dialects, and speech patterns.
• Testing the IVR system's speech recognition and web interfaces for chat performance to identify areas for improvement and address issues like false positives or misinterpretations.
• Studying customer interactions to understand common errors in speech recognition and adapt the models accordingly
• Implementing advanced speech recognition techniques like natural language processing (NLP) to enable more complex interactions with callers.
• Programming skills:
• Proficiency in programming languages used to develop speech recognition systems.
• Familiarity with grammar rules, syntax, and semantics to optimize language models.
• Data analysis skills:
• Ability to analyze large datasets of speech data to identify patterns and improve model accuracy.
• Ability to manage and modify NLU performance patterns.
• Clear ability to explain complex technical concepts to non-technical stakeholders
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.