Key Responsibilities:*
- Build, validate & deploy ML models (scoring, forecasting, optimization, NLP, etc.).
- Collaborate with product & engineering teams to design impactful algorithms.
- Lead feature engineering, model selection & production deployment.
- Ensure models are explainable, scalable & continuously improving.
- Stay updated on latest ML/AI trends.
Must-Have Skills:
- Strong background in ML, statistics & applied mathematics.
- Python/R with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch).
- Experience with large datasets & end-to-end model deployment.
- Strong communication & stakeholder management skills.
Good-to-Have Skills:
- NLP/Text Mining, LLM exposure.
- Bayesian modeling, RL, or simulation.
- AWS/Cloud ML pipelines, SEO/search-related models.
Qualifications: Master's/PhD in a quantitative field with proven Data Science expertise.
Job Type: Full-time
Pay: ₹1,135,588.01 - ₹2,423,831.27 per year
Work Location: In person
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