MLOps Lead

Job description

​Rare opportunity to join the Data Platform team of a MNC to handle end to end MLOps processes from pre-production to post-production.

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.

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