Rare opportunity to join the Data Platform team of a MNC to handle end to end MLOps processes from pre-production to post-production.
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 XavierY@charterhouse.com.sg for a confidential discussion.
EA License no: 16S8066 | Reg no.: R1980978
Only successful candidates will be notified.