Data Scientist

Hiring: Data Scientist

Experience: 5+ Years

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

Key Responsibilities:

• Train and optimize Deep Neural Network architectures for Regression and Industrial Control use cases
• Design and implement end-to-end Machine Learning and Deep Learning pipelines including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring
• Work with large and complex datasets for preprocessing, exploratory data analysis (EDA), and feature engineering
• Apply Regression Models and Predictive Analytics to solve business problems
• Develop Time Series and Forecasting models for trend prediction and risk estimation
• Collaborate with cross-functional teams to integrate ML solutions into production environments

Must Have Skills:

• Deep Learning (Neural Networks, CNN, RNN, LSTM, Transformers)
• PyTorch, TensorFlow, Keras
• Python Programming
• Scikit-learn
• Pandas and NumPy
• Machine Learning (Regression, Classification, Ensemble Models)
• Time Series Forecasting and Predictive Modeling
• Model Training, Hyperparameter Tuning, and Cross Validation

Good to Have:

• Cloud Platforms: AWS, Azure, or GCP
• MLOps Tools: Docker, Kubernetes, MLflow, Seldon, etc.
• Exposure to Big Data and Data Engineering
• Experience with NLP, GenAI, or LLMs