SO MLOps Integration Engineer, GMET
UOB · Central Region (City Area)
Full-timeonsitemidOtherTechnology
รายละเอียดงาน / Description
Based in Singapore, this role involves integrating, deploying, and monitoring machine learning models within enterprise systems. The Senior Officer MLOps Integration Engineer will develop and maintain robust MLOps pipelines, ensuring seamless collaboration between data science and IT operations. This position requires implementing scalable infrastructure and adhering to bank security policies throughout the ML lifecycle.
หน้าที่ความรับผิดชอบ / Responsibilities
- Design and maintain MLOps pipelines for model training and deployment
- Manage infrastructure for scalable ML workloads using containerization and cloud platforms
- Collaborate with data scientists and IT teams for efficient model integration
- Implement automated testing and CI/CD strategies for ML models
- Establish monitoring and alerting systems for model performance and data drift
- Troubleshoot issues related to ML deployments and infrastructure
คุณสมบัติ / Qualifications
- Bachelor's or Master's degree in a quantitative field
- At least 1 year of experience in MLOps, DevOps, or similar roles
- Strong programming skills in Python
- Proficiency with MLOps platforms and tools
- Experience with containerization (Docker, Kubernetes) and cloud platforms
- Solid understanding of CI/CD principles and tools
ทักษะที่ต้องการ / Required skills
- Python
- MLOps
- DevOps
- Docker
- Kubernetes
- AWS
- Azure
- GCP
- CI/CD
- MLflow
ทักษะเพิ่มเติม / Nice to have
- Sagemaker
- Azure ML
- Vertex AI
- Jenkins
- GitLab CI
- Azure DevOps
- SQL
- Spark
- Kafka
- Financial Services