Qualifications: Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Proven experience of 3-5 years in chatbot development, with a focus on the Kore.ai platform. Proficiency in JavaScript, Node.js, and other relevant programming languages. Strong understanding of natural language processing (NLP) and machine learning concepts. Experience with API integration and database connectivity. Excellent problem-solving and debugging skills. Strong communication and teamwork skills. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Kore.ai certification or training. Experience with chatbot deployment and maintenance in production environments. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with chatbot analytics tools and reporting. Experience in designing and implementing multilingual chatbots.

Job Description Exp: 1-8 Yrs Good experience in chatbot testing with expertise in conversational AI platforms (e.g., Microsoft Bot Framework, Kore.ai, Dialogflow, Rasa, etc.). Experience in testing multilingual chatbots , ensuring linguistic accuracy and contextual consistency. Strong understanding of NLP, AI-based intent recognition, and machine learning models . Hands-on experience in test automation for chatbot workflows using tools like Selenium, Botium, or custom automation frameworks. Proficiency in API testing tools (e.g., Postman, REST Assured) for chatbot integrations. Experience with performance testing of chatbots to evaluate response times and scalability. Strong analytical, problem-solving, and leadership skills with experience managing a team of testers . Excellent communication skills to coordinate with cross-functional teams and stakeholders. Preferred Qualifications: Experience with CI/CD pipelines for automated chatbot testing. Familiarity with analytics tools to assess chatbot engagement and accuracy metrics . Exposure to voicebot testing (e.g., Alexa, Google Assistant) is a plus.

Required Skills Experience: 2-4 years of hands-on experience in NLP development with expertise in at least one conversational AI framework (e.g., RASA, Microsoft Bot Framework, Yellow.ai, Kore.ai ). Strong understanding of intent classification, entity extraction, sentiment analysis, and contextual AI models . Experience with fine-tuning pre-trained NLP models (e.g., BERT, GPT, spaCy, Transformers). Proficiency in Python and NLP libraries such as NLTK, spaCy, Hugging Face, or TensorFlow . Hands-on experience in training and improving conversational AI models using structured datasets. Ability to analyze chatbot performance , identify misclassifications, and optimize NLP strategies. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Preferred Qualifications: Experience with speech-to-text and voicebot NLP models . Exposure to multilingual NLP models and translation APIs. Understanding of A/B testing and model evaluation metrics (e.g., precision, recall, F1-score).