Total 4 quality control engineer job vacancies in Maintenance / Repair category in Singapore

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventative and corrective maintenance on-site to critical facility components and/or systems.
• Performs moderately difficult repairs, maintenance, installations and on-site inspections to critical facility systems.
• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve; follows guidelines on standard procedures and makes recommendations for solutioning.
• Operates and maintains plumbing, fire suppression, and life-safety systems.
• Implements energy efficiency measures.
• Assists team members on coordinating critical infrastructures.
• Works on assignments requiring considerable judgment and initiative.
• Understands implications of work and makes recommendations for solutions.

Vendor Support

• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements.
• Assists with the creation and submission of scripts for maintenance.
• Tracks and implements the work approval process for service providers for critical maintenance (including briefing at the start of work, control of work during the day workday/shift, final review of the work carried out).
• In cooperation with the vendors, changes/updates technical files for plants and equipment ensuring files and builds are up-to-date.

Site Administration & Incident Support

• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts.
• Identifies Single Points of Failure (SPOFs) and makes recommendations for solutions.
• Responds to all on-site incidents, including failures, significant problems and delays.
• Performs Root Cause Analysis (RCA) and make recommendations for solutions.
• Supports the on-site staff during incidents.
• Demonstrates and supports processes and procedures are followed and adhered to.

Work Orders & Additional Projects

• Completes skilled work requests and circuit installations.
• Performs advanced troubleshooting and maintenance of office equipment (if necessary); supports auxiliary equipment and machines with problem solving and repairs to avoid/minimize downtime.
• Makes moderate changes to mechanical, electrical and specialized systems, as directed.
• Carries out more complex infrastructure projects.
• Supports life cycle maintenance/end of life. infrastructure projects and critical replacements.
• May recommend infrastructure projects.

Collaboration

• Collaborates with others to resolve difficult facility incidents.
• Effectively collaborates within the department; may mentor team members on skilled maintenance activities.
• Informs stakeholders of inventory needs to maintain optimal stock levels of critical parts and equipment, may support in coordinating processes for maintaining inventory.
• Acts as a mentor to others in resolving incidents.

Qualifications

• 1+ years of experience, prefer data center experience

EA License Number : 11C4879

- At least 1 yr Data Centre experience and in Critical Facility environment (production line, power plants, pharmaceutical)

- background in mechanical and electrical engineering

- background in CMMS (computerize maintenance software)

- proficient in using MS office.

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Job Description

• At least 1 year Data Centre experience and in Critical Facility environment (production line, power plants, pharmaceutical)
• Background in mechanical and electrical engineering
• Experience and background in CMMS (computerize maintenance software)
• Proficient in using MS office.

EA Number: 11C4879

Job Description

• Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
• Proven experience in developing and deploying machine learning solutions using SageMaker, Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.
• Solid understanding of machine learning concepts, techniques, and best practices such as data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, testing, challenger models, and MLOps.
• Hands on experience in NLP use cases.

EA Number: 11C4879