Senior MLOps Lead

RESPONSIBILITIES:

• 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

REQUIREMENTS:

• 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 XavierY@charterhouse.com.sg for a confidential discussion

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

Only successful candidates will be notified.