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 (India)
🏢 Neha Chauhan Narang
📍 India