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Randstad Singapore

Search Recommendation Algorithm Engineer

Randstad Singapore

Remote · Jornada completa

Sé el primero en postularte

Experiencia
Más de 7 años
Salario
Vacantes
1
Al corriente
Hace 11 horas
Modo de trabajo
Trabajar desde casa
Educación
Bachelor's degree in Computer Science
Reanudar
Se requiere solicitud

Descripción del trabajo

About the Role

We are partnering with a publicly-listed international e-commerce company offering an attractive and competitive compensation package for a fully remote position based in Singapore. This opportunity is tailored for candidates at the Staff or Principal Engineer level specializing in search and recommendation systems.

Key Responsibilities

  • Develop and enhance personalized recommendation algorithms integrated within the search experience, including semantic search and query-based product suggestions.
  • Build sophisticated deep learning models combining real-time user query intent and historical user behavior data to deliver highly customized ranking results.
  • Design scalable, low-latency multi-stage retrieval and ranking systems aimed at increasing conversion rates, click-through rates, and overall relevance.
  • Incorporate state-of-the-art artificial intelligence techniques to augment search discovery functionalities.
  • Create robust experimentation methodologies to rigorously validate and deploy algorithms effectively in production environments.

Qualifications and Requirements

  • Bachelor's degree in Computer Science or a related field is mandatory.
  • Minimum of seven years professional experience demonstrating success in large-scale e-commerce search, information retrieval, or recommendation system development.
  • Expertise in semantic search mechanisms, vector embeddings, Learning-to-Rank approaches, and natural language processing frameworks.
  • Proficient in programming languages such as Python, Java, and C++ alongside modern machine learning frameworks like PyTorch and TensorFlow.
  • Experience working with distributed data processing technologies like Spark, vector databases, and search engines including Elasticsearch or OpenSearch.

Additional Information

The position is fully remote with the company situated in Singapore. Interested applicants can contact the recruitment agent directly via the provided number for further inquiries.

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