This is a position for a MLOps FunctionalAnalyst, doubling as a Developer for MLOps projects. He will manage MLOps platform projects such as AI Medical Imaging Platform.
Roles and responsibilities
- 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 , Cloud infra engineers for on-boarding to AWS and MS Azure
Requirements
- Practical experience of software engineering or software development experience in making AI/ML models production ready
- 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
- 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
- At least 3 - 5 years experience in developing, implementing and maintaining IT systems
