Hiring: Data Scientist Experience: 5+ Years We are looking for a highly skilled Data Scientist with strong 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.