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Data Scientist (3+ Years) – Voice Bot / Conversational AI

3 years

0 Lacs

noida uttar pradesh india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data ai learning scaling extraction recognition synthesis analyze engineering ml analysis model testing evaluation tokenization azure programming tensorflow pytorch nltk rasa dialogflow deployment docker flask fastapi aws ux

Work Mode

On-site

Job Type

Full Time

Job Description

Position:

Experience:

Location:

Employment Type:

About the Role

machine learning, NLP, and voice bot development

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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