Total 8 quality assurance engineer job vacancies in Maintenance / Repair category in Singapore

Missions and Responsibilities

1.Manage the maintenance systems to achieve performance of all the control systems (DCS, PLC, SCADA, HMI) with the objectives of achieving continual gas supply to the customer, leveraging organizational capabilities in response to business needs of our customers.
2.Ensure all the maintenance activities / records are recorded and maintained in CMMS (CIS).
3.Prepare a monthly maintenance report.
4.Participate in the RCA for all the reliability issues and propose the preventive action plan.
5.Adherence to Job Order / Work Permit system and to maintain zero accident by complying to all Safety rules & regulations in accordance with AL IMS and Workplace Safety & Health Act.
6.Ensuring that the maintenance program is in place and aligned with the maintenance strategy
7.Ensure that operating manuals and facility SOPs are established according to the IMS program of the subsidiary
8.Responsible for quality and safety audit (E&I part), related SOP & RA
9.Provide operation support to execute and complete the PM/CM/SDM on time.
10.Response to address the issues to reduce the down time
11.Identify the critical spare parts and manage
12.Train the operation staff on DCS, PLC and SCADA

Reliability Enhancement Project

1.You will supervise the contractors in your field of competencies with emphasis on safety, quality, schedule, and cost;
2.And manage the interfaces between disciplines and subcontractors;
3.You will plan the mobilization of vendor representatives;
4.And prepare and implement site-specific working instructions and procedures regarding construction utilizing the Air Liquide standards;
5.You will ensure the quality of construction/installation works according to contract requirements;
6.And report safety deviations and data for the site.

Key Job Experience

1.Degree in Electrical/Electronics/Instrumentation/Control Engineering or equivalent.
2.Minimum 7 years of working experience in Gas/Chemical industry preferably.
3.Minimum 3 years experience in maintenance / service / commissioning Oil and Gas or petrochemical industry DCS system such as Yokogawa/Siemens/Honeywell
4.Working understanding of process equipment and technology used in the facility
5.Working understanding of mandatory regulatory requirements applicable to the operations of the facility.
6.Excellent problem solving skills
7.Customer-oriented approach
8.Experience in RCA methodology
9.Loop Testing and Commissioning.

The Opportunity

• Opportunity to work with MNC Client
• 5 days' work week, Office Hours
• Working location: One-north business park

The Day-to-Day Activities

• Implement and maintain machine learning algorithms and edge AI models provided by the data scientist team on Android based IoT devices.
• Integrate machine learning models and optimize performance on Android platforms.
• Work on video and audio processing using machine learning techniques on Android devices.
• Develop sensor data processing algorithms for the applications on Android platforms.
• Provide technical support for product and operations teams.
• Write related technical documentation and contribute to patent applications.

The Must-Haves

• Bachelor’s degree in Computer Science, Electronic Engineering, or related fields, with 3+ years of experience in Android development and machine learning (framework layer & system services related).
• Proven track record of developing machine learning models and algorithms on Android platforms for successful commercial products or projects.
• Proficient in Java, Kotlin, or C/C++ languages, with good programming habits and large-scale software development experience.
• Familiar with Android kernel, including interrupt processing, memory management, process scheduling, device drivers, etc.
• Experience with Android system issue analysis and solving, including deadlock, crash, performance optimization, and low power optimization.
• Proficient in machine learning frameworks such as TensorFlow Lite, PyTorch Mobile, or similar.
• Experience in optimizing machine learning models for mobile devices.
• Excellent problem analysis and solving capabilities, communication skills, and teamwork.

Preferred Qualifications

• Experience in audio or video processing on Android systems.
• Experience with open source large language model (LLM) inference on devices.
• Familiarity with computer vision models or voice recognition models.
• Familiarity with machine learning model training, model distillation, model conversion for edge AI.

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA Licence Number: 91C2918

Registration Number: R22106307

Role Overview:

We are seeking a skilled professional to join our Machine Learning Platform team, focused on building advanced tools and infrastructure to support machine learning initiatives. The role involves designing and implementing scalable AI infrastructure, developing observability solutions, and fostering the adoption of distributed computing frameworks within the organization.

Key Responsibilities:

• Develop AI Infrastructure SolutionsCollaborate with the ML Platform team to design and implement scalable infrastructure for distributed data processing and model training.
  Utilize GitOps practices to maintain reproducibility across Kubernetes clusters.
  
• Build Monitoring and Alerting SystemsDevelop and integrate observability solutions using tools like Datadog, Prometheus, and Grafana.
  Create runbooks and DevOps guides to streamline operations.
  
• Support Distributed Computing Framework AdoptionAssist data science teams in leveraging distributed computing frameworks such as Ray for scalable workloads.
  Advocate for best practices and provide technical support for cluster utilization.
  

Qualifications:

• Strong expertise in ML-Ops, with experience in distributed computing frameworks (e.g., Ray, Dask, Modin, Beam, or Horovod).
• Proficient in Python and familiar with machine learning tools and ecosystems.
• Hands-on experience with Kubernetes, including GitOps tools (e.g., ArgoCD) and configuration management solutions like Helm and Kustomize.
• Solid DevOps background, with knowledge of Infrastructure as Code (e.g., Terraform).
• Excellent written and verbal communication skills to support cross-functional collaboration.

This role offers the opportunity to work on innovative projects, drive machine learning infrastructure advancements, and contribute to the organization's data science capabilities.

Next Step:

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package. Simply click on 'Apply here' to drop your resume or email at [email protected].

Susmita Sahu

EA License No: 91C2918

Personnel Registration Number: R23114076

Responsibilities:

• Ÿ Involved in the research and development for various cutting-edge machine learning, deep learning, computer vision, computer graphic and natural language processing algorithms.
• Ÿ Able to identify and source relevant conference papers, analyze and extracting valuable insights and understanding the implications of the research
• Ÿ Collaborate with engineer team and advance AI algorithms performance in various applications.

Requirements:

• Ÿ Min. Bachelor degree in the area of Machine Learning, Deep learning, Computer Vision, Computer Graphics, Natural Language Processing or similar area.
• Ÿ Solid foundations of maths and algorithms: probability statistic, linear algebra, geometry, optimization method, image processing, 3D modeling, .etc.
• Ÿ 3-5 years’ experience in machine learning algorithm design and implementation and excellent skills in at least one of machine learning/deep learning tools such as Tensorflow, Pytorch, MxNet, .etc.
• Publications in top-tier ML conferences or journals is preferred

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Responsibilities:

• Ÿ Involved in the research and development for various cutting-edge machine learning, deep learning, computer vision, computer graphic and natural language processing algorithms.
• Ÿ Able to identify and source relevant conference papers, analyze and extracting valuable insights and understanding the implications of the research
• Ÿ Collaborate with engineer team and advance AI algorithms performance in various applications.

Requirements:

• Ÿ PhD/MS degree in the area of Machine Learning, Deep learning, Computer Vision, Computer Graphics, Natural Language Processing or similar area.
• Ÿ Solid foundations of maths and algorithms: probability statistic, linear algebra, geometry, optimization method, image processing, 3D modeling, .etc.
• Ÿ 3-5 years’ experience in machine learning algorithm design and implementation and excellent skills in at least one of machine learning/deep learning tools such as Tensorflow, Pytorch, MxNet, .etc.
• Ÿ Publications in top-tier ML conferences or journals is preferred

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

The Opportunity

• Work with a well-established airhub
• Working Hour: Monday – Friday 8.30am to 6pm
• Location: East

The Talent

• Minimally to have Diploma in System Engineering, IT, or any other related field
• Minimally to have 1 years of relevant experience
• Good to have knowledge in IT System like SaaS, API Integration, network, etc)
• Must have experience in vendor management
• Good with time management and multi-tasking
• Proficient in Microsoft Office 365 (Teams, SharePoint, Excel and Word, in particular)

The Job

• Support the Team to work towards smart working space
• Prepare and call for tenders/quotations for projects
• Manage queries and change requests from staff (e.g. user unable to access office or vending machines)
• Conduct first-level of troubleshooting for all related issues and escalate to vendors (if required);
• Facilitate regular meetings with internal and external stakeholders; and
• Coordinate and supervise contractors during project implementation stages.

Next Steps

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, expected package and reason for leaving.)

To apply online, please click on the link and contact us to follow-up. Alternatively, please send your resume to [email protected].

All shortlisted candidates will be contacted. All the best!

The Opportunity

• Adecco is partnering with a multinational corporation oil and gas company to search for a Instrumentation and Controls Engineer
• Focus: PLC/Automation engineering support on day-to-day operations and Data Collection and Analysis
• Office location: West, Jurong Island
• Working hours: 5 days’ work (Mon-Fri) 40 hours per week
• This role start off as a contract position

The Talent

• Bachelor’s degree in mechanical engineering or related engineering specialty, or equivalent professional experience
• Extensive knowledge of discipline design standards, specifications, codes, and appropriate safety criteria
• Able to review, evaluate, and update cause and effect, P&IDs, logic and architecture diagrams and control narratives
• Experience in selection, application, and ISA data sheet specification of hardware including pressure/ temperature /level instruments, control valves, shutdown valves, and fire/gas detection
• Proficient in data collection and analysis with common database and software data analysis tools such as SAP, Analytics for Excel and Tableau

The Job

• Execute control system life cycle management programs which include control system inventory, obsolescence plans, managing spare parts and upgrade/replacement planning
• Support control system maintenance and test planning as required, software upgrades, ESD testing, offline and online testing, and coordination of activities with/without plant shutdowns
• Support metering systems maintenance planning including for custody transfer, allocation, regulatory, and leak detection applications
• Support planning and coordination of tasks related to control system cyber security
• Review systems for compliance with company’s Industrial Control System Requirements (ICSR) to minimize cybersecurity threats
• Participate with multi-disciplinary alarm management efforts including alarm rationalization, prioritization, development of state based alarm schemes, and design / modification of alarm systems
• Review update and develop instrument and controls technical documentation / drawings including P&IDs, cause and effect, and control narratives
• Travel to production affiliate office/facility locations for onsite support or rollout of new global support initiatives

Next Step

• We could contact you in the soonest time if you directly send your resume to: [email protected]
• Email Topic: Apply: Instrumentation and Controls Engineer
• We regret to inform that only shortlisted candidates will be contacted

Ling Kai Hoe

EA Licence Number: 91C2918

Personnel Registration Number: R22106166

The Opportunity

• Adecco is partnering with a multinational corporation oil and gas company to search for a Machinery Engineer Focus: Machinery engineering support on day to day operations
• Office location: West, Jurong Island
• Working hours: 5 days’ work (Mon-Fri) 40 hours per week
• This role start off as a contract position

The Talent

• Bachelor’s degree in mechanical engineering or related engineering specialty, or equivalent professional experience
• Broad knowledge of discipline design standards, specifications, codes, and appropriate safety criteria
• Experience working / associated with oil & gas - machinery craft
• Well versed with SAP system will be an added advantage

The Job

• Facilitate and coordinate discipline engineering technical work products
• Coordination and communication of various issues among the company's and contractor's engineering team that affect the discipline engineering design, safety, and regulatory compliance of the work
• Evaluate / comment work performed by the Contractor and sub-contractors to insure that the work is being executed in accordance with Company specifications, standards, and regulatory requirements. Includes review of discipline design drawings and documents
• Identify and assess deviations to Contract Technical Specifications and regulatory requirements; ensure that such deviations will be processed according to Company procedures; maintains Deviation Control Log.
• Steward discipline engineering queries from the Contractor and sub-contractors as well as technical information requests
• Keep Lead Engineer or Engineering Manager informed of discipline engineering progress, deviations, and execution concerns
• Participate in discipline engineering reviews at Contractor's and subcontractor's locations
• Drives and promotes capital efficiency in engineering design
• Support internal engineering general interest or Global Practice initiatives as requested by Supervisor

Next Step

• We could contact you in the soonest time if you directly send your resume to: [email protected]
• Email Topic: Apply: Machinery Engineer
• We regret to inform that only shortlisted candidates will be contacted

Ling Kai Hoe

EA Licence Number: 91C2918

Personnel Registration Number: R22106166