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 (Machine Learning) (New Delhi)
🏢 Neha Chauhan Narang
📍 New Delhi