About the company
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.
Responsibilities
- 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 scientific challenges into reusable feature assets and predictive capabilities.
- Apply statistical and machine learning techniques to identify valuable patterns and signals within complex datasets.
- Contribute to scalable data-processing and feature-engineering practices that enable high-performing analytics, machine learning, and AI solutions.
Requirements
- Strong hands-on experience in Data Science, Machine Learning, feature engineering, and predictive modeling, including developing production-quality features for machine learning solutions.
- Deep understanding of data preparation, feature extraction, dimensionality reduction, feature selection, statistical analysis, and model performance optimization.
- Strong proficiency in Python and SQL, along with experience using notebooks, machine learning libraries, and modern data-processing frameworks.
- Experience building scalable data pipelines, feature-generation workflows, and reusable feature assets in cloud-based environments.
- Strong analytical and problem-solving abilities, with the ability to identify valuable signals within complex data and translate them into measurable outcomes.
- Ability to collaborate effectively with multidisciplinary teams and communicate technical concepts clearly to technical and business stakeholders.
- Experience building feature stores, reusable feature repositories, or feature-engineering frameworks is a plus.
- Experience with predictive modeling approaches such as gradient boosting, ensemble methods, Bayesian modeling, optimization algorithms, forecasting, or advanced statistical techniques is desirable.
- Experience working with life sciences, diagnostics, healthcare, laboratory environments, advanced manufacturing, or other data-rich scientific industries is advantageous.
Conditions
- Full-time position based in India.
- Remote work arrangement, allowing eligible employees to work from home.
- Comprehensive and competitive employee benefits programs.
- Healthcare benefits designed to support employee well-being.
- Paid time off.
- Flexible working arrangements for eligible roles.
- Opportunity to work on production-grade AI, machine learning, and data products with enterprise-scale impact.
- Exposure to multidisciplinary teams across Data Science, AI Engineering, Product, Architecture, and Data Engineering.
- Opportunity to work with complex scientific, laboratory, enterprise, and instrument data.
- Professional growth opportunities within a global technology and science-focused environment.