About the Role
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 transtranslate 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.