ML Engineers/Data Scientists-Well Known IT Co.@ Techno Park-Trivandrum

Role Overview;-

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.

Role & 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

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Preferred Candidate Profile:-

• 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 (XG Boost, 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 Tensor Flow / Py Torch, scikit-learn, pandas, NumPy, stats models, etc.

• Strong problem-solving mindset and ability to work with minimal supervision.