Senior MLOps Integration Engineer: Enterprise ML Pipelines

United Overseas Bank Limited; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

1011 United Overseas Bank Ltd is seeking a Senior Officer MLOps Integration Engineer to bridge data science and IT operations for model deployment and monitoring across enterprise systems.

You will design end-to-end MLOps pipelines using Docker and Kubernetes, work with AWS/Azure/GCP, and collaborate with data scientists, software engineers, and IT ops to ensure scalable, compliant ML solutions in Singapore.

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, 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

MLflow

Kubeflow

Sagemaker

Azure ML

Vertex AI

Docker

Kubernetes

CI/CD

Jenkins

GitLab CI

Azure DevOps

SQL

Spark

Kafka

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related quantitative field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

Job description

1011 United Overseas Bank Ltd is seeking a Senior Officer MLOps Integration Engineer to bridge data science and IT operations for model deployment and monitoring across enterprise systems.

You will design end-to-end MLOps pipelines using Docker and Kubernetes, work with AWS/Azure/GCP, and collaborate with data scientists, software engineers, and IT ops to ensure scalable, compliant ML solutions in Singapore.