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
