MLOps Integration Engineer: Deploy, Monitor & Scale ML

UOB; Singapore; On-site; SGD 90,000 - 160,000; Full time

Job summary

United Overseas Bank Limited (UOB) is seeking a Senior Officer MLOps Integration Engineer to bridge data science and IT operations, focusing on seamless integration, deployment, and monitoring of ML models within enterprise systems.

The role requires 1+ years in MLOps/DevOps, strong Python skills, and hands-on experience with Docker/Kubernetes and major cloud platforms. Be part of a leading Asian bank with a global network and a focus on secure, scalable ML solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• 1+ years of experience in MLOps, DevOps, or a similar role focused on machine learning systems.
• Strong programming skills in Python is essential.
• Proficiency with MLOps platforms and tools (e.g., MLflow, Kubeflow, Sagemaker, Azure ML, Vertex AI).
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps).
• Familiarity with machine learning concepts, algorithms, and model lifecycle management.
• Experience with data engineering concepts and tools (e.g., SQL, Spark, Kafka).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Experience in the financial services industry is a plus.

Responsibilities

• Design, develop, and maintain robust MLOps pipelines for model training, deployment, monitoring, and retraining.
• Implement and manage infrastructure for scalable machine learning workloads, including containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with data scientists, software engineers, and IT operations teams to ensure efficient and reliable model integration into existing and new applications.
• Develop and implement automated testing, continuous integration, and continuous deployment (CI/CD) strategies for ML models.
• Establish and maintain monitoring and alerting systems for model performance, data drift, and operational health.
• Troubleshoot and resolve issues related to ML model deployments and infrastructure.
• Ensure compliance with bank security and governance policies throughout the ML lifecycle.
• Research and implement new MLOps tools and best practices to optimize efficiency and reliability.
• Document MLOps processes, architectures, and solutions for maintainability and knowledge sharing.

Skills

Python

MLOps/DevOps

CI/CD

SQL

Spark

Kafka

Communication

Teamwork

Education

Bachelor's or Master's degree in CS/Engineering/Data Science

Tools

MLflow

Kubeflow

Sagemaker

Azure ML

Vertex AI

Docker

Kubernetes

AWS

Azure

GCP

Job description

United Overseas Bank Limited (UOB) is seeking a Senior Officer MLOps Integration Engineer to bridge data science and IT operations, focusing on seamless integration, deployment, and monitoring of ML models within enterprise systems.

The role requires 1+ years in MLOps/DevOps, strong Python skills, and hands-on experience with Docker/Kubernetes and major cloud platforms. Be part of a leading Asian bank with a global network and a focus on secure, scalable ML solutions.