This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Feature Engineer based in India.

This role focuses on transforming complex enterprise, scientific, laboratory, and instrument data into high-quality features that power machine learning and AI solutions. You will act as a technical expert in feature engineering, applied machine learning, and predictive modeling. The position combines hands-on data science with the design of reusable feature products, pipelines, and feature stores. You will explore large and complex datasets to identify meaningful signals and improve model performance, reliability, and explainability. Working closely with Data Scientists, AI Scientists, AI Engineers, Product Owners, and Architects, you will translate business and scientific challenges into scalable predictive capabilities. The role offers the prospect to establish best practices for feature quality, lineage, monitoring, and lifecycle management across enterprise AI initiatives.

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Accountabilities:

• Discover,



develop, and maintain high-quality features from enterprise, scientific, laboratory, and instrument data to improve the performance, reliability, and explainability of ML and AI solutions.

• Design and execute data exploration, feature engineering, and feature-selection experiments to identify meaningful signals, validate assumptions, and optimize model performance.

• Build reusable feature data products, feature stores, and feature-generation pipelines that can support multiple models, solutions, and business environments.

• Establish and promote best practices for feature quality, lineage, monitoring, documentation, and lifecycle management.

• Ensure feature assets remain reliable, traceable, scalable, and production-ready throughout their lifecycle.

• Partner with Data Scientists, AI Scientists, AI Engineers, Product Owners, and Architects to translate complex business and scie

📌 Lead AI Feature Engineer (India)
🏢 Jobgether
📍 India