We are hiring a highly skilled Data Scientist with strong expertise in Machine Learning, Deep Learning, and production-grade ML systems to solve complex real-world business problems.

Key Responsibilities :

- Train and optimize Deep Neural Network architectures for Regression and Industrial Control Usecases

- Design and implement end-to-end Machine Learning & Deep Learning pipelines including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring

- Work on large, complex datasets for data preprocessing, exploratory data analysis (EDA), and feature engineering

- Apply Regression Models, and Predictive Analytics to solve real-world problems

- Develop Time-Series and Forecasting models for trend prediction and risk estimation

- Collaborate with cross-functional teams to integrate ML solutions into production systems

Must-Have Skills :

- Deep Learning (Neural Networks, CNNs, RNNs, LSTM, Transformers)

- PyTorch, TensorFlow, Keras

- Python Programming

- Scikit-learn

- Pandas & NumPy

- Machine Learning (Regression, Classification, Ensemble Models)

- Time Series Forecasting & Predictive Modeling

- Model Training, Hyperparameter Tuning & Cross-Validation

Good to Have :

- Cloud Platforms - AWS / Azure / GCP

- MLOps Tools - Docker, Kubernetes, MLflow, Seldon, etc.

- Big Data & Data Engineering Exposure

- NLP, GenAI, or LLM Experience

Experience : 5+ Years