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Data Scientist – NLP & Conversational AI

2 years

0 Lacs

Gurugram Haryana India

Posted:6 hours ago| Platform: Linkedin logo

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Skills Required

data ai reasoning power recognition design word tracking engineering inference model latency nltk fasttext ml pytorch tensorflow signal processing quantization distillation retrieval management ux optimization openai mlflow portfolio github creativity collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

To Apply - Fill this form: https://lnkd.in/gbveTe5r


Data Scientist specializing in NLP and conversational AI


Job Title: Data Scientist – NLP & Conversational AI

Location:

Experience:

Working Hours:


Key Responsibilities

  • Build and refine models for intent recognition, speech act classification, and response routing
  • Design lightweight NLP classifiers and heuristics to optimize LLM usage
  • Improve conversational dynamics using turn-taking prediction, pause detection, and filler word modeling
  • Create classifiers to detect IVRs, gatekeepers, voicemail systems, and target respondents
  • Build or fine-tune small models for emotion detection, dialogue state tracking, or speaker intent
  • Work on context-aware response selection systems (e.g., RAG pipelines with pre-recorded replies)
  • Collaborate closely with engineering teams to deploy NLP models in real-time inference systems
  • Evaluate model performance across latency, accuracy, fallback behavior, and human-likeness

Core Skills


  • NLP frameworks: HuggingFace Transformers, spaCy, NLTK, fastText, Sentence Transformers
  • ML libraries: scikit-learn, PyTorch, TensorFlow, LightGBM
  • Audio signal processing: MFCCs, VAD, filler detection, silence segmentation
  • Real-time or low-latency model design experience (quantization, distillation, pruning)
  • RAG: Retrieval-Augmented Generation pipelines using vector stores (FAISS, Chroma, Pinecone)
  • Understanding of dialog state management, dialogue act tagging, and conversational UX design


Preferred / Bonus Skills

  • Familiarity with Whisper, Coqui, Bark, or other open-source STT/TTS models
  • Prompt engineering or LLM optimization (OpenAI, Claude, LLaMA, Mistral)
  • Experience with streaming inference architectures or edge AI (e.g., LLaMA.cpp)
  • Exposure to hybrid response generation: LLM + Pre-recorded audio systems
  • Use of experiment tracking tools like MLflow or Weights & Biases


General Qualities We Value

  • Comfort working in fast-paced, ambiguous environments
  • Startup or early-stage product experience
  • Strong applied portfolio: GitHub, notebooks, demos, or Kaggle/NLP competition track record
  • Eagerness to build production-ready, real-time ML features
  • Curiosity, creativity, and a collaborative mindset

More Jobs at Novaia

Data Scientist – NLP & Conversational AI

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Salary: Not disclosed

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