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.Total Experience : 5 - 9 years (ref:hirist.tech)