Data Scientist(india)
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
Location : Remote
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
Apply To This Job
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
Location : Remote
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
Apply To This Job