Lead AI Feature Engineer
Beckman Coulter Diagnostics (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Create and maintain reusable, production-grade feature data products improving machine learning performance across multiple Danaher operating companies.
- Design and execute feature engineering and selection experiments from complex scientific and enterprise data to maximize model performance and reliability.
- Establish best practices for feature quality, lineage, monitoring, and lifecycle management to ensure scalable and production-ready AI solutions.
Minimum Requirements
- Strong hands-on experience in data science, machine learning, feature engineering, and predictive modeling.
- Proficiency in Python, SQL, machine learning libraries, and modern data-processing frameworks for operationalizing ML solutions.
- Experience building scalable data pipelines and feature generation workflows in cloud-based environments.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in developing reusable feature stores or feature engineering frameworks across multiple ML solutions.
- Background in predictive modeling techniques such as gradient boosting, ensemble methods, Bayesian modeling, or advanced statistical approaches.
- Exposure to life sciences, diagnostics, healthcare, laboratory, or other data-rich scientific industries.