Advanced Recommendation Systems Specialist

4 days ago

Singapore beBeeArchitect Full time $90,000 - $120,000

Recommendation Systems Architect

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  • We are seeking a highly skilled Recommendation Systems Architect to join our team. This is a fantastic opportunity to work on cutting-edge recommendation models and algorithms that power our platform.
  • The ideal candidate will have a strong background in machine learning, deep learning, and data engineering.
  • You will be responsible for designing and implementing scalable and efficient recommendation systems that meet the needs of our users.

About the Role:

This role focuses on developing personalized recommendation systems that drive user engagement and conversion. You will work closely with cross-functional teams to integrate recommendation systems into our products.

Responsibilities:

  • Design and develop high-quality recommendation models and algorithms using machine learning and deep learning techniques.
  • Collaborate with data engineers to implement and deploy recommendation systems in production.
  • Work with product managers to understand business requirements and translate them into technical specifications.
  • Analyze user behavior and feedback to improve recommendation system performance.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • Strong foundation in machine learning, deep learning, and data engineering.
  • Experience with large-scale data processing and storage technologies.
  • Excellent communication and collaboration skills.

About Us:

We are a leading technology company that enables people to create and share content. Our mission is to inspire creativity and bring joy to our users.

Why Join Us?

  • Opportunity to work on cutting-edge recommendation systems and algorithms.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.

Diversity & Inclusion:

We are committed to creating an inclusive and diverse workplace where everyone feels valued and empowered to contribute their best work.

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