10+ years of experience.
Position Description:
This role will be responsible for designing and developing AI solutions that utilize Microsoft Azure Cognitive Services and/or other technologies/frameworks as directed. The Developer must have experience in analyzing customer needs and developing the overall concept and design objectives.
Responsibilities:
·LUIS, QnA, CLU Model Development: Design, develop, and optimize LUIS/CLU language models to understand and interpret user input accurately.
·Excellent troubleshooting and analytical skills in a complex, distributed environment.
·Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI
·Intent Recognition: Implement intent recognition and entity recognition to extract relevant information from user queries.
·Model Training and Tuning: Continuously train and fine-tune LUIS and CLU models to improve their accuracy and responsiveness.
·Integration: Integrate LUIS/CLU models into our chatbot and virtual assistant applications, ensuring seamless and natural interactions.
·Collaboration: Collaborate with cross-functional teams, including software developers, data scientists, and UX/UI designers, to deliver cohesive AI-powered solutions.
·Testing and Validation: Conduct rigorous testing and validation of LUIS and/or CLU models to ensure high-quality performance and handle edge cases effectively.
·Documentation: Create and maintain comprehensive documentation for LUIS/CLU models, APIs, and integration procedures.
·Experience with Azure and relevant technologies such as Dialog flow ES, Dialog flow CX, GVP or Nuance Mix Tools is considered.
·Experience using Git and Jenkins.
·Hand on experience with agile and scrum development methodologies.
Required Qualifications:
·5+ years of enterprise-scale IVR application development experience.
·Knowledge of Azure Bot Service, Azure Cognitive services Microsoft Bot framework is strongly desired.
·Proven experience in developing and deploying Microsoft Azure AI tools (LUIS,QnA,CLU, CQA) or other NLP systems.
·Proficiency in programming languages such as Python, C#, or JavaScript.
·Nuance grammar development experience
·Knowledge of SQL and experience with relational databases
·Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
·Strong problem-solving skills and attention to detail.
·Excellent communication and teamwork abilities.