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Strong Tier-1 brand, mid-level ML role, metro location and broad skillset attract many qualified applicants.
ML and software engineering skills are transferable, but payments/fraud domain and Java/Spring requirements increase specificity.
Explicit 4+ years plus mandatory ML, Java/Spring Boot, and DB/cloud skills create strict candidate filters.
Design, develop, and review scalable machine learning models and statistical solutions addressing complex business challenges.
Refine and optimize models through advanced feature engineering, hyperparameter tuning, and validation ensuring high performance and robustness.
Provide technical guidance and mentorship to junior team members and collaborate with cross-functional teams for model deployment and operationalization.
Bachelor’s degree in Information Technology, Computer Science, or equivalent work experience.
4+ years of hands-on software development experience; 2+ years in Software and Data Science fields.
Strong domain knowledge of Java 8+ and Spring Boot; experience with relational & NoSQL databases.
Familiarity with DevOps, IT operations best practices, application & system security, and ability to work across global time zones.
Experienced individual contributor capable of managing small projects within the Data Science domain with specialized expertise.
Proficient in developing, optimizing, and operationalizing ML models aligned to business challenges.
Comfortable working remotely with global teams and providing mentorship and strategic insights to senior leadership.