Senior MLOps Lead


  • Review ML models to ensure they are complaint with bank’s IT standards
  • Point of contact for MLOps processes including containerization deployment and models refactoring
  • Ensure that data drift is minimized if not eliminated
  • Implement CI/CD best practices for MLOps models
  • Liaise with Software and Infrastructure colleagues to deploy ML models in company’s enterprise suite
  • Test, modify and implement available ML platforms to study the possibility of integrating them into current data infrastructure


  • Bachelor’s or Master’s in Computer Science, Computer Engineering or equivalent with at least 5 years of proven experience working on Data Engineering and DevOps
  • At least 2 years of experience in MLOPs’ enhancements through CI/CD principles, experience in GitHub, Jenkins or GitLab
  • Highly proficient in Python for Automation and ML processes
  • Proficient in ML libraries of TensorFlow, NumPy or/and Panda
  • Knowledge of Unix, Linux or Bash
  • Hands-on experience implementing MLOps module in Kubeflow, Google AI, Azure ML, AWS Sagemaker or similar tools


Please contact Xavier Yap at Xa*****@ch**********.sg for a confidential discussion

EA License no: 16S8066 | Reg no.: R1980978

Only successful candidates will be notified.

Charterhouse Asia

Company Website

Job type

Full time

Job location


Closing Date
March 1, 2023

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