Data Engineer

at  INNOVATIQ TECHNOLOGIES PTE LTD

Responsibilities:

• To handle infrastructure set-up, Cloud engineering and deployment of AI/machine learning models in the MLOps platform.
• 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.

Requirement:

• At least 5 years’ experience in developing, implementing and maintaining IT systems.
• 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.
• Practical experience of software engineering or software development experience in making AI/ML models production ready.
• 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.

• To handle infrastructure set-up, Cloud engineering and deployment of AI/machine learning models in the MLOps platform.
• 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