Data Scientist

4 days ago

Kanpur, India CogniTensor Full time

Job Description: Data Scientist (3+ Years) – Voice Bot / Conversational AI Position: Data ScientistExperience: 3+ yearsLocation: NoidaEmployment Type: Full-timeAbout the Role We are seeking a Data Scientist with strong hands-on experience in machine learning, NLP, and voice bot development . The ideal candidate will work on building, optimizing, and scaling conversational AI solutions, including speech-to-text (STT), text-to-speech (TTS), intent classification, and dialog workflows.Key Responsibilities Develop and optimize machine learning and NLP models for voice-based conversational systems.Build, train, and evaluate models for intent detection, entity extraction, sentiment analysis , and conversation flows.Work with speech recognition (ASR/STT) and speech synthesis (TTS) tools to improve bot accuracy and user experience.Analyze user conversation data to identify patterns, improve accuracy, and enhance bot performance.Collaborate with engineering teams to integrate ML components into production systems.Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.Monitor ML model performance and implement improvements or retraining strategies.Work on A/B testing, model validation, and performance evaluation for conversational AI models.Document solutions, workflows, and model approaches clearly.Required Skills 3+ years of experience in Data Science / Machine Learning .Strong understanding of NLP techniques : tokenization, embeddings, transformers, BERT, intent classification.Experience building or enhancing voice bots / speech-based conversational systems .Hands-on experience with ASR/STT engines (Google STT, Azure Cognitive Services, Whisper, etc.).Experience with TTS engines (Amazon Polly, Google TTS, Azure TTS, etc.).Strong programming skills in Python and ML libraries (TensorFlow / PyTorch, Scikit-learn, NLTK, SpaCy, HuggingFace).Experience working with large datasets and data pipelines.Ability to understand business problems and convert them into data-driven solutions.Good to Have Experience with RASA, Dialogflow, IBM Watson Assistant , or similar bot frameworks.Knowledge of LLMs, prompt engineering, and fine-tuning .Familiarity with deployment tools (Docker, Flask/FastAPI, AWS/Azure).Experience with real-time streaming data and analytics.Understanding of conversational UX design.Education Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or related field.

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