Recommendation System Engineer / AI Recommendation Engineer / Personalization Engineer

Tips Hindawi

HybridCareer-pivot friendly

Why this role

Pace

Fast Paced

The job requires constant development and optimization of recommendation systems, indicating a fast-paced work environment where continuous improvement is key.

Collaboration

High

Engineers will need to work closely with data scientists and product teams to deliver personalized user experiences, highlighting a collaborative work culture.

Autonomy

Medium

With the flexibility to work remotely or in a hybrid model, this role offers a high degree of autonomy in how tasks are completed.

Decision Impact

Team

Decisions made in designing and implementing recommendation systems will directly impact user satisfaction and the overall success of the company's AI-driven initiatives.

Role Level

Individual Contributor

The job requires expertise in multiple AI/ML frameworks and cloud platforms, indicating a complex role that demands a high level of technical proficiency.

Career Pivot Friendly

Welcomes transferable skills

Individuals from a data science or AI engineering background can easily transition into this role, leveraging their analytical and problem-solving skills.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design and optimize recommendation systems
collaborate with data scientists and product teams

Typical background

AI engineersdata scientists

Transferable backgrounds

Coming from Data Scientist at a retail company
data analysis · model optimization
The experience in analyzing customer data and optimizing models for retail can be directly applied to enhancing recommendation systems in an AI-driven environment.
Coming from Machine Learning Engineer at a fintech startup
cloud platform management · AI/ML framework proficiency
Proficiency in cloud platforms and ML frameworks from a fintech background can be seamlessly transferred to developing and maintaining AI-driven pipelines in a tech company.

Skills & requirements

Required

Recommendation SystemsAI PersonalizationPythonSQLML Frameworks (tensorflow, Pytorch)

Preferred

Cloud Platforms (aws, Azure, GCP)

Stack & domain

PythonSQLML FrameworksAWSAzureGCPAnalyticalProblem-solvingCollaborationAIPersonalizationData Engineering

About the role

This role involves designing and optimizing recommendation systems for a tech company in Singapore, ideal for someone with a strong background in AI and data engineering who enjoys working on innovative projects.

Original posting from Tips Hindawi

📄 Job Description: Recommendation System Engineer / AI Recommendation Engineer / Personalization Engineer
(Part-Time / Full-Time / Hybrid) – Singapore company name Tips Hindawi
We are partnering with a Singapore-based innovative tech company expanding their AI and personalization engineering team. If you are passionate about recommendation systems, AI-driven personalization, and data-driven applications, this is an excellent opportunity to work on cutting-edge projects.
✨ Why This Role?
Flexible working arrangement (Remote / Hybrid available)
Competitive salary + performance-based incentives
Work on AI-driven recommendation engines and personalized user experiences
Exposure to modern AI/ML frameworks and cloud platforms (AWS, Azure, GCP)
Career growth in a dynamic international environment
Work pass support available for eligible candidates
🚀 Key Responsibilities:
Design, develop, and optimize recommendation systems and personalization algorithms
Build and maintain AI-driven pipelines for user data and content
Collaborate with data scientists, engineers, and product teams to deliver personalized experiences
Monitor system performance and optimize models for accuracy and scalability
Research and implement state-of-the-art AI/ML techniques for personalization
🎯 Requirements:
Experience in recommendation systems, AI personalization, or data engineering
Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, etc.)
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Knowledge of algorithms, data structures, and model optimization
Strong analytical, problem-solving, and collaboration skills
💼 Who Should Apply:
AI engineers or data scientists looking to specialize in recommendation systems
Professionals interested in Singapore-based AI/ML opportunities
Skilled fresh graduates with relevant AI/personalization projects
📩 Interested?
Send your CV or message directly for more details.
We’ll guide you step by step through the hiring process.

Source: Tips Hindawi careers