Data Scientist (India)
Indexed description
🔹 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
✔ 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
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search