Role & responsibilities
- Develop and implement machine-learning and deep-learning models.
- Perform feature engineering and analyse complex datasets.
- Build predictive models, forecasting systems and anomaly-detection algorithms.
- Work with time-series data and sensor-based datasets.
- Develop, optimise and validate ML algorithms.
- Work on model deployment and productionisation.
- Collaborate with engineering teams to improve model performance and scalability.
- Explore applications of ML in sleep monitoring, stress detection and health analytics. Preferred candidate profile
- Develop and implement machine-learning and deep-learning models.
- Perform feature engineering and analyse complex datasets.
- Build predictive models, forecasting systems and anomaly-detection algorithms.
- Work with time-series data and sensor-based datasets.
- Develop, optimise and validate ML algorithms.
- Work on model deployment and productionisation.
- Collaborate with engineering teams to improve model performance and scalability.
- Explore applications of ML in sleep monitoring, stress detection and health analytics.

📌 Senior Data Scientist (New Delhi)
🏢 Neha Chauhan Narang
📍 New Delhi