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MABASA / LINKEDIN

Algorithm Engineer (Recommendation/ Search, 200K)

Hays

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

About the job An international freight and logistics platform is looking for an Algorithm Engineer to join their team. Your new role As an Algorithm Engineer, you will be responsible for: * Develop and optimize matching, transaction, and marketing algorithms to drive business growth. * Enhance user experience and business performance through data\-driven algorithmic solutions. * Own the full machine learning lifecycle, from data processing to deployment and monitoring. * Collaborate with product and business teams in China to identify improvement opportunities and implement solutions. * Apply advanced and emerging AI/ML techniques to solve real\-world business challenges and innovate continuously. What you’ll need to succeed * Bachelor's degree in Computer Science or a related field, with 2\+ years of experience in machine learning, recommendation systems, search, or advertising. * Strong expertise in machine learning, with experience in areas such as causal inference, forecasting, reinforcement learning, or optimization being a plus. * Chinese proficiency to communicate with stakeholders in China * Proficient in programming and experienced with mainstream ML and deep learning frameworks. * Strong analytical and problem\-solving skills, with a passion for algorithms and a data\-driven mindset. * Excellent communication, cross\-functional collaboration, and execution skills, with the ability to work independently and thrive under pressure. What you'll get in return In return, you'll be part of an organization that values its employees. You’ll be rewarded with: * Structured career growth and plenty of developmental opportunities * Stable working environment What you need to do now If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome. At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply. EA Reg Number: R22110258 \| EA License Number: 07C3924 \| Company Registration No: 200609504D

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