Senior / Principal AI Search, Recommendation & Platform Engineer
GK CONSULTING PTE. LTD.
Posted: March 25, 2026
Job Description
About the Role
We are building large-scale AI platforms powering search, recommendation, and advertising systems across a high-impact ecosystem.
In this role, you will work at the intersection of machine learning, distributed systems, and platform architecture—driving both algorithm innovation and system design to deliver intelligent, personalized user experiences at scale.
What You’ll Do
- Design and develop search, ranking, and recommendation algorithms to improve relevance, engagement, and monetization
- Apply advanced ML techniques (e.g., deep learning, bandits, reinforcement learning, LLMs) to real-world systems
- Build and optimize scalable ML systems, from experimentation (A/B testing) to production deployment
- Analyze large-scale user data to drive continuous model and system improvements
- Collaborate across teams to integrate ML models into search, ads, and platform infrastructure
- (Senior/Principal) Influence system architecture and drive cross-domain technical initiatives
Minimum Qualifications
- Degree (Bachelor’s/Master’s/PhD) in Computer Science, AI, or related field
- Strong foundation in algorithms, machine learning, and large-scale data processing
- Experience in search, recommendation, ads, or ML systems
- Proficiency in Python, Java, or Scala, and ML frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- Experience with LLMs, recommender systems, or ads ranking/monetization
- Familiarity with bandits, reinforcement learning, or advanced ranking techniques
- Experience building distributed systems or ML platforms at scale
- Publications in top conferences (e.g., KDD, NeurIPS, ICML, ACL)
- Strong problem-solving, communication, and cross-team collaboration skills
- (Senior+) Experience leading initiatives or influencing system architecture
Why Join Us
- Build AI systems that impact millions of users at scale
- Work across search, ads, and personalization in an end-to-end environment
- Shape next-generation AI-native platforms and user experiences
- Grow as a technical expert or leader in a high-impact role
How to Apply
Please visit the store in person to apply for this position or contact the mall management for more information.
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