Senior Applied Machine Learning Engineer
Jobgether (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 25–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and optimize production machine learning models focused on churn prediction, customer retention, account health, and segmentation using structured business and product usage data.
- Develop robust evaluation methods including time-based backtesting, automate model monitoring, and investigate prediction errors to enhance model accuracy and reliability.
- Collaborate closely with backend engineers to translate analytical improvements into production-ready code integrated within a Go-based product environment.
Minimum Requirements
- Minimum 5 years of applied machine learning experience with structured business data and production model ownership.
- Strong mathematical and statistical foundation; degree from IIT or equivalent preferred but not mandatory.
- Proficiency in SQL and software engineering skills required, including ability to integrate ML improvements into Go application codebase.
- Currently working at a product-based organization with experience in production ML systems for business decision support.
Ideal Candidate Profile
- Experienced in deploying and maintaining ML models that directly impact business outcomes like churn and retention in real product environments.
- Operates with a product engineering mindset, translating analytical insights into actionable and scalable production implementations.
- Skilled at rigorous model evaluation, error analysis, data quality management, and communicating technical concepts clearly to non-ML stakeholders.