Data Scientist

2 weeks ago

Thiruvananthapuram, India Mig Staffing Full time

We are looking for a skilled and motivated Machine Learning Engineer / Data Scientist to join our team. The ideal candidate should have a strong foundation in machine learning and deep learning, with experience in building end-to-end ML pipelines and hybrid modeling approaches that incorporate both physics-based simulations and data-driven insights. You will work on high-impact projects involving time series forecasting, predictive modeling, and system simulation to support data-driven decision-making.Key Responsibilities :- Design, train, and evaluate machine learning and deep learning models for regression, classification, and forecasting tasks.- Build and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.- Develop physics-informed or hybrid models by combining domain knowledge with machine learning approaches to simulate and predict system behaviors.- Implement and optimize time series forecasting models using statistical techniques, classical ML, and deep learning architectures (e.g., LSTM, Transformer).- Collaborate with cross-functional teams to translate business needs into machine learning solutions.- Monitor and refine model performance post-deployment to ensure robust, scalable outcomes.Key Skills Required :- Strong knowledge of Machine Learning and Deep Learning algorithms and their applications.- Proven experience in building and deploying end-to-end ML pipelines.- Hands-on experience in physics-based modeling or hybrid approaches combining physical models with data-driven techniques.- Solid understanding of time series forecasting using statistical (ARIMA, ETS), machine learning (XGBoost, RF), and deep learning (RNN, LSTM, Temporal CNN) methods.- Experience designing regression and classification models for real-world problems.- Proficiency in Python, and libraries like TensorFlow / PyTorch, scikit-learn, pandas, NumPy, statsmodels, etc.- Strong problem-solving mindset and ability to work with minimal supervision. (ref:hirist.tech)

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