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About the role
Hiring: Data Scientist Experience: 5+ Years We are looking for a highly skilled Data Scientist with robust expertise in Machine Learning, Deep Learning, and production-grade ML systems to solve complex real-world business challenges. Key Responsibilities: - Train and optimize Deep Neural Network architectures for Regression and Industrial Control use cases - Design and implement end-to-end Machine Learning and Deep Learning pipelines including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring - Work with large and complex datasets for preprocessing, exploratory data analysis (EDA), and feature engineering - Apply Regression Models and Predictive Analytics to solve business problems - Develop Time Series and Forecasting models for trend prediction and risk estimation - Collaborate with cross-functional teams to integrate ML solutions into production environments Must Have Skills: - Deep Learning (Neural Networks, CNN, RNN, LSTM, Transformers) - PyTorch, TensorFlow, Keras - Python Programming - Scikit-learn - Pandas and NumPy - Machine Learning (Regression, Classification, Ensemble Models) - Time Series Forecasting and Predictive Modeling - Model Training, Hyperparameter Tuning, and Cross Validation Good to Have: - Cloud Platforms: AWS, Azure, or GCP - MLOps Tools: Docker, Kubernetes, MLflow, Seldon, etc. - Exposure to Big Data and Data Engineering - Experience with NLP, GenAI, or LLMs Location : Remote Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered. .
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