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
