This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Data Scientist based in India.

This is an opportunity to develop advanced machine learning solutions that support enterprise decision-making and customer-facing products.
You will work with large-scale structured and unstructured datasets to uncover patterns, build predictive features, and develop analytical models.
The role spans machine learning, deep learning, statistical analysis, time-series forecasting, and predictive modeling.
You will also contribute to automated data and ML pipelines, applying MLOps practices to support reliable and scalable production models.
Close collaboration with software engineering teams will be essential to integrate models directly into real-world applications.
You will translate complex statistical findings and model performance into clear insights, visualizations, and actionable business recommendations.




This role is well suited to a data scientist who combines robust technical depth with analytical thinking and a practical, business-oriented mindset.

Accountabilities:
- Design, train, evaluate, and optimize machine learning and deep learning models across use cases including classification, regression, clustering, predictive analytics, and time-series forecasting.
- Extract, clean, transform, and engineer high-value predictive features from large-scale structured and unstructured datasets to improve model performance and business outcomes.
- Build robust end-to-end data ingestion and model training pipelines, incorporating MLOps best practices and automated retraining processes to support scalable machine learning operations.
- Conduct rigorous model validation and optimization through hyperparameter tuning, cross-validation, bias-variance analysis, and other evaluation techniques to ensure production models remain accurate and stable.
- Analyze complex datasets and statistical outputs to ide

📌 AI/ML Data Scientist (India)
🏢 Jobgether
📍 India