Total 9 quality assurance engineer job vacancies in Pacific Century Place, Lantai 20, Scbd Lot. 10, Jalan Jenderal Sudirman Kaveling 52-53

Agency Sales Quality 

Engineering staff

Engineering Staff

Staff Engineering

STAFF ENGINEERING

• Following the kick of meeting with Sales Department, production, customers, and the Project Coordinator before starting the project.
• Receive technical documents from the Application Engineer and sales during the kick of meeting and implementation for project execution.
• Able to Conduct and lead the engineering phase until the engineering output (BOM and Drawing) is released.
• Able to Conduct and lead the preparation of inspections and test plans with the Quality Engineer.
• Become a company representative for every technical meeting and discussion with customers.
• Conducting site survey before the project is executed and issue an installation plan on sites.
• Become a commissioning test team, and record commissioning results for handover to customers/Operations.
• Recapitulation of inspection/test result documents into Fabrication Data Records in collaboration with Quality control and Application Engineers.
• Performing FAT at the vendor's facility before sending equipment to the Company.
• Perform technical coordination and manage vendors in technical terms.
• Become a Problem-Solving team if there is a problem with the equipment and systems supplied to the customer.
• Overseeing engineering for project execution from the initial handover at the kick of meeting to Commissioning and Handover.

Memastikan semua prosedur kerja Laboratorium, Incoming, Pest Control, IPAL, WTP dan Kalibrasi dapat berjalan dengan baik, terkontrolm terkendali sesuai dengan prosedur keamanan pangan.

Responsibilities:

• Perform machine installation
• Machine maintenance
• Repair machine
• Carry out analysis and problem solving
• Carry out machine quality control
• Perform functional test on the machines
• Create maintenance report
• Create a preventive maintenance schedule

1. Analyze and organize raw data.

2. Build data systems and pipelines.

3. Create and maintain optimal data pipeline architecture.

4. Interpret trends and patterns.

5. Conduct complex data analysis and report on results.

6. Prepare data for prescriptive and predictive modeling.

7. Build algorithms and prototypes.

8. Combine raw information from different sources.

9. Develop analytical tools and programs.

10. Collaborate with data scientists and architects on several projects.