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Data Scientist – NLP & Conversational AI -3+ Years

3 years

0 Lacs

Gurugram Haryana India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data ai support schedule management automation learning forecasting experimentation collaboration design regression clustering ranking analyze extract analytics engagement scoring recognition extraction summarization logic routing evaluation model engineering ml xgboost catboost numpy sql postgresql nltk versioning monitoring writing code python integration tuning mistral arima algorithms collaborative filtering tracking mlflow portfolio github stack

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

NovaIA offers an AI-powered voice assistant tool designed to support human agents in real time. Particularly tailored for real estate agencies, the assistant can make calls, follow up with leads, filter prospects, and schedule appointments. Key features include real-time agent support and appointment management automation. The assistant listens in on conversations, providing live guidance, data, or suggestions, and seamlessly handles follow-ups and meeting setups through voice interactions.


versatile and hands-on Data Scientist


Job Title: Data Scientist – Predictive Modeling & Conversational AI

Location:

Experience:

Working Hours:


Key Responsibilities

  • Design, build, and evaluate machine learning models for classification, regression, clustering, and ranking use cases
  • Analyze large datasets to extract insights, train predictive models, and improve decision-making
  • Lead and support analytics use cases such as behavior prediction, engagement scoring, and feature engineering
  • Work on NLP/NLU tasks including intent recognition, entity extraction, summarization, and semantic similarity
  • Contribute to conversational AI logic such as dynamic routing, fallback response logic, and session personalization
  • Design evaluation frameworks to assess real-time model performance in voice-based interfaces
  • Collaborate with engineering teams to deploy models in production environments and monitor model health

Core Skills

  • ML/DS toolkits: scikit-learn, XGBoost, LightGBM, CatBoost, PyCaret
  • Data wrangling: pandas, NumPy, Polars, SQL (PostgreSQL, BigQuery)
  • NLP frameworks: HuggingFace Transformers, spaCy, NLTK, fastText
  • ML ops understanding: model versioning, performance monitoring, feature store design
  • Working with structured + unstructured data (voice/text/logs)
  • Comfortable writing modular, reusable code in Python or notebooks with best practices


Preferred / Bonus Skills

  • LLM integration: prompt engineering, fine-tuning open-source models (e.g., Mistral, LLaMA)
  • Time series forecasting (Prophet, ARIMA, or ML-based)
  • Recommender systems or ranking algorithms (collaborative filtering, hybrid models)
  • Familiarity with RAG pipelines, embeddings, vector search, and hybrid retrieval
  • Experience using experiment tracking tools (MLflow, Weights & Biases, DVC)
  • Exposure to speech/audio data analytics


General Qualities We Value

  • Comfort working in fast-paced, ambiguous environments
  • Startup or early product-building experience with cross-functional teams
  • Strong problem-solving ability and interest in building user-facing intelligence
  • Demonstrated portfolio of work (e.g., GitHub, notebooks, blog posts, Kaggle)
  • Curiosity, autonomy, and eagerness to contribute across the stack when needed


  • Note: If Question is Not Applicable: Write NA

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