What we’re looking for • 8+ years of experience in Data Science or Machine Learning • Very strong hands-on experience with Python • Strong understanding of OOP concepts and ML model deployment • Have executed multiple end-to-end time-series forecasting projects • Solid understanding of model validation and production deployment • This is an individual contributor role • Previous experience with Azure or Azure ML will be a strong plus What you’ll do • Design data-driven solutions for complex business challenges • Build, test, and deploy ML models at scale • Perform advanced analytics including forecasting and decision trees • Collaborate with data engineers and business stakeholders • Translate ambiguous problems into clear, actionable insights Why join us • Global and collaborative analytics culture • Opportunity to work on real business problems at scale • Hybrid work model with continuous learning opportunities

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.