Intern - Machine Learning

Key Skills

Data Analytics, Python Programming, SQL

Job Description

• Office Location: Jurong
• Hiring Manager: Engineering Manager
• Number of internship positions: 1
• Preferred Period of Internship Required: May/June - Dec 2023
• Preferred Course of Intern: Bachelor in Chemical Engineering, DSA, Computer Sciences

Job Purpose: Industrial Internet of Things / Machine Learning 

Key Activities:

In alignment with the automation, digitalisation, data and analytics strategy, an opportunity exists to incorporate wireless sensors and monitoring into site facilities to increase capability of the site from preventative maintenance to predictive maintenance capability enhancing reliability of critical assets. 

Project scope
The scope of the project will be conducted as follows:

• Identification of wireless instruments for deployment
• Procure and install wireless instruments
• Deployment of the instruments and monitoring application
• Data collection and evaluation of the technology
• Proof of value for the trial asset
• Business case for wider deployment
• Assist in management of Predictive Maintenance (MTELL) use case, digital project or a sub-project
• Assist Engineers in the MTELL model / agent devlopment

Project deliverables

• Study, design and generate proposal including scope of study, cost estimates and schedule to secure funding for the feasibility study
• Complete necessary design, safety and work flow review
• Raise all necessary change control to execute the feasibility study
• Generate all test documents for the implementation of the change
• Generate all necessary procedure for the new process & work flow
• Routine follow-up with users on the tracking and problem solving of failure & anomly detected from MTELL agents

Management Skills, you will also be given a chance to lead / assist the engineer or manager in the following

• Project management of a use case, digital project or a sub-project
• Prepare communication materials such as slides, videos, workday post (Similar to Facebook)
• Organize communication sessions with the site users
• Join and lead / participate in company social events eg Environmental Sustainability or Social Welfare related 
• Student will be responsible for assisting the Engineer and Manager by working with function representatives to meet the deliverables.

Learning outcomes:

The student will learn about Pharma Primary Manufacturing and the introduction of novel, advanced technologies to satisfy business value drivers. The student will acquire knowledge on the interconnectivity across operational, engineering and quality functions to deliver the new technology solution for improving the reliability of equipment for plant operation. The student will be immersed in the site activities and understand how compliance to the Key Performance Indicators (KPIs) is critical to the site.

The student will be able to apply his/her knowledge of engineering, data sciences and analytics and learn soft skills in engaging different stake holders to deliver a project.