Tech Stack
PythonPyTorchScikit-LearnTensorflow
About the role
- Design, train, and deploy production-grade ML models for business-critical use cases
- Collaborate closely with product, data, and engineering teams to define and execute AI solutions
- Lead technical decision-making on model design, deployment pipelines, and infrastructure
- Own the full model lifecycle — from data prep and training to evaluation, monitoring, and retraining
- Guide junior AI engineers through code reviews, project planning, and mentorship
- Drive the hiring process: screen candidates, evaluate technical fit, and onboard top talent
- Champion best practices in experimentation, model development, and production AI
- Stay ahead of the curve — evaluate new tools, frameworks, and advancements in AI
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 4–6 years of experience in AI/ML engineering, with models deployed in production
- Strong Python skills is a MUST and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
- Solid understanding of ML lifecycles — from data pipelines and feature engineering to tuning, deployment, and monitoring
- Real-world experience building AI systems in domains like recommendation, NLP, or risk modeling
- Experience mentoring junior engineers and collaborating cross-functionally
- Strong written and verbal communication skills
- Must be a Singaporean citizen or Permanent Resident (PR)
- Must be willing to relocate to Malaysia or work remotely from Singapore
- Competitive salary and performance-based bonuses
- Hybrid flexibility — mix of remote work and in-office collaboration at HQ
- High ownership and direct impact — report to Head of AI and drive mission-critical projects
- Clear path for fast career growth as the company expands across ASEAN
- Opportunity to shape and lead a growing AI team
- Regional product exposure and cross-border collaboration
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonML frameworksPyTorchTensorFlowScikit-learndata pipelinesfeature engineeringmodel deploymentmodel monitoringAI systems
Soft skills
mentorshipcollaborationtechnical decision-makingcommunication
Certifications
Bachelor’s degreeMaster’s degree