Hays

Algorithm Engineer (Recommendation/Search)

Hays

Singapore · Full Time

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Experience
2+ yrs
Salary
SGD 200,000 – SGD 200,000 / year
Openings
1
Posted
6 days ago
Work mode
In office
Education
Bachelor's degree in Computer Science or related field
Resume
Required to apply

Where you'll work

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Job description

About the Role

An international freight and logistics platform is seeking an Algorithm Engineer to join their team based in Singapore. The role involves developing and refining algorithms pivotal to business growth and optimizing user experiences through advanced data-driven methods.

Key Responsibilities

  • Design and enhance matching, transaction, and marketing algorithms to support business expansion.
  • Implement data-driven algorithmic solutions that improve user experience and overall business effectiveness.
  • Manage the complete machine learning pipeline including data preparation, deployment, and ongoing monitoring.
  • Work collaboratively with product and business teams in China to pinpoint areas for enhancement and deliver effective solutions.
  • Utilize modern and emerging AI/ML methods to address practical business challenges and drive innovation.

Requirements

  • Bachelor's degree in Computer Science or related discipline with minimum 2 years of practical experience in machine learning, recommendation systems, search, or advertisement domains.
  • Strong knowledge of machine learning techniques, with additional experience in causal inference, forecasting, reinforcement learning, or optimization being advantageous.
  • Ability to communicate fluently in Chinese to engage with stakeholders based in China.
  • Proficiency in programming and familiarity with major machine learning and deep learning frameworks.
  • Excellent analytical and problem-solving abilities, coupled with a strong passion for algorithms and a data-focused approach.
  • Strong communication and teamwork skills, able to work autonomously and deliver results under pressure.

Benefits

  • Clear career progression paths and numerous opportunities for personal and professional development.
  • A supportive and stable work environment that values employee wellbeing.

Additional Information

The employer is committed to diversity and actively encourages candidates from varied backgrounds to apply. Referrals are welcomed.

Minimum education

Bachelor's Degree

How they work

Communication Teamwork & Collaboration Problem Solving Adaptability Independence

Languages

Hewlett Packard Enterprise

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