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Popular fullstack title, mid-level experience and broad Node/React+ML requirements raise candidate competition.
Fullstack with ML emphasis is moderately transferable, favoring candidates from product, e-commerce, or SaaS backgrounds.
Mandatory 4–5 years backend experience plus specific Node/React, DB and ML skills makes shortlisting strict.
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Lead and mentor a team of 3–5 software engineers with sprint planning and task allocation ensuring timely delivery.
Design, develop, and maintain scalable web applications and backend systems using Node.js, Express.js, and React.js.
Own development and optimization of secure, high-performance RESTful APIs and databases; participate in architecture decisions and troubleshoot production issues.
4–5 years of backend development experience with strong skills in Node.js, Express.js, RESTful APIs, API security, microservices.
At least 1 year hands-on Machine Learning experience focused on recommendation systems and predictive analytics using Python and ML libraries.
Mandatory Bachelor's degree in Engineering, Computer Science, or related field.
Experience with MySQL, MongoDB, or Amazon DynamoDB as databases.
Experienced technical leader capable of managing and delivering full stack projects involving backend and frontend technologies in Node.js and React.js.
Proficient in building and deploying production-ready ML solutions integrated into backend systems.
Familiar with campaign management or customer engagement platforms, and comfortable driving both technical decisions and team execution.