Senior Systems Analyst - ML Ops (Engineering)
Date: 17 Mar 2026
Location: SG
Company: Synapxe
Position Overview
This is a position for a MLOps Functional Analyst, doubling as a Developer for MLOps projects. He will manage MLOps platform projects such as AI Medical Imaging Platform, and cluster projects that require AI model deployment on HEALIX platform
Role & Responsibilities
- To handle infrastructure set-up, Cloud engineering and deployment of AI/machine learning models in the MLOps platform within the SingHealth cluster
- Review technical solutions for the deployment of AI models, along with the data pipelines and visualization interfaces
- Utilize DevOps tools and automate model deployment / tuning via orchestration
- Provide guidance for maintenance, support and enhancements to model deployment platforms
- Hands-on experience to:
- Analyze, design and develop test for model deployment and automation
- Design and implement API interfaces
- Set up Continuous Integration / Continuous Deployment pipeline
- Work with Data Scientists on understanding and enhancing data models for deployment
- Liaise with Data Engineers on the requirements for each data sources, understand the ETL required
- Work with DBA to manage the DB servers
- Work with Cloud infra engineers for on-boarding to AWS and MS Azure
Requirements
- Degree and equivalent training (e.g. specialist diploma, professional certificate) in Business Analytics, Computer Science / Computer Engineering, Computer Engineering, Information Systems, Mathematics, Statistics, Engineering or related disciplines that possesses an analytical component
- At least 3 - 5 years’ experience in developing, implementing and maintaining IT systems
- Understanding of programming language such as Python, R and SQL
- Foundational knowledge of Cloud computing and infrastructure setup
- Foundational knowledge of data pipeline, data engineering and data pre-processing
- Foundational knowledge of data visualization tools such as Tableau, QlikSense, Power BI
- Agile and Scrum experience is preferred
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