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