Total 6 site 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

• Permanent role with a provider of medical and safety technology solutions
• Work location: West Region
• Work hours: Monday- Friday, 8.30am - 5.30pm
• Salary up to $3500 with AWS & VB

Adecco is collaborating with a Provider of medical and safety technology solutions. They provides cutting-edge medical and safety technology, offering solutions for healthcare, industrial safety, and workplace infrastructure, ensuring optimal performance, reliability, and protection across diverse environments.

They are looking for an Assistant Facility Maintenance Engineer to join their growing team. The ideal candidate for this role should have the experience in medical or workplace infrastructure, adept at equipment installation, maintenance, customer service, service contract management, and safety. If you are seeking to further your career in a dynamic environment, we encourage you to apply!

The Job

• Install and provide basic technical training on Workplace Infrastructure (WPI) products, including Medical Pendants, Lights, and Gas Management solutions.
• Conduct warranty services, corrective repairs, and maintenance visits, ensuring equipment stays functional and up-to-date via factory Technical Service Bulletins.
• Support sales and marketing activities, such as congresses, exhibitions, demos, and workshops, to enhance service reach.
• Escalate quality issues, market dynamics, and field-related concerns to the Service Management team for resolution.
• Monitor and complete monthly maintenance tasks, ensuring timely submission of documentation and adherence to SOPP for data hygiene and hours tracking.
• Develop and implement service contracts, striving to meet revenue targets while ensuring customer satisfaction and workplace safety compliance.

The Talent

• Minimum qualification: ITE in Engineering/Electronics or equivalent.
• 2-3 years of technical experience, preferably in after-sales support for medical or Workplace Infrastructure products.
• Expertise in handling Pendants, Surgical Lights, Medical Gas, or Industrial Refrigeration systems, including hospital compressors or related equipment.
• Class 3 driving license is preferred.
• Proficient in customer service skills, Microsoft Office, and IT-related networking skills.
• Strong ability to multitask, meet deadlines, and ensure compliance with safety standards.

Next Step

• Prepare your updated resume (please include your current salary package with a full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
• Apply through this application or send your resume to [email protected] in MS Word Copy. We'd love to hear from you!
• We regret that only shortlisted candidates will be notified.

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