Total 16,429 service engineer job vacancies

Job Description

• Industry/ Organization Type: Freight Forwarding/ Warehousing
• Position Title: Senior Airfreight Customer Service Executive
• Working Location: Changi Cargo Complex
• Working Hours: Mon to Fri (9am – 6pm), Alternate Sat (9am – 1pm)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Serve as the primary contact for key clients on airfreight enquiries and requirements.
• Manage end-to-end quotation processes (RFQs, ad-hoc, and project shipments) with a competitive pricing approach.
• Engage with airlines, co-loaders, and vendors to secure optimal rates and cargo space.
• Follow up on quotations and support conversion into confirmed shipments.
• Provide market updates, including pricing trends, capacity, and peak season insights to clients and internal teams.
• Coordinate closely with operations, warehouse, and finance teams to ensure smooth shipment execution.
• Collaborate with the Sales/ SOE team on account management and business development activities.
• Track shipment progress and proactively handle any issues or exceptions.
• Maintain accurate and up-to-date records in systems (e.g., Shipthis).
• Guide and support junior team members when necessary.

APPLY NOW!!!

• At least 5 years of experience in airfreight or freight forwarding sector.
• Strong understanding of airfreight operations, pricing strategies, and airline coordination.
• Proven track record in quotation management and customer service.
• Familiarity with Singapore Customs procedures (e.g., XO, OD permits) is an advantage.
• Ability to work independently and manage key client accounts effectively.
• Excellent communication, negotiation, and problem-solving skills.
• Proficient in Microsoft Office and logistics management systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #84195 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Responsible for integration and implementation of both hardware and software engineering work
• Carry out proper planning, execution and supervision of the integration work and do QA technical checks throughout the project execution
• Handle application programme change management, hardware deployment management and documentation
• Implementation of PLC/SCADA project from concept to design and programming
• Interface with SCADA and PLC programming
• Meeting with clients, doing reports and documentation
• Perform troubleshoot independently

Requirements

• Min Nitec in Mechatronics, Electrical or Electronics
• Possess a Singapore Class 3 or 3A Driving License
• knowledge in PLC and SCADA

To submit your application, please apply online apply@rn-care.com or call +(65) 6514 9838 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

• Work toward achieving departmental goals related to revenue growth and profitability.
• Identify and develop new business opportunities to expand market reach.
• Prepare professional quotations, proposals, and preliminary system designs for clients.
• Contribute creative ideas and actionable recommendations to enhance sales results and strengthen brand visibility.
• Promote the company’s presence and reputation through effective sales and marketing initiatives.
• Build and maintain strong relationships with business partners and key stakeholders.
• Maintain up-to-date knowledge of security solutions and related technologies to provide high-quality client consultations.
• Support project management activities, attend site meetings, and communicate with clients as needed.

Job Requirement:

• Minimum Degree or equivalent qualification.
• Minimum3 year working experience in solution-based sales, preferably within the industry or similar

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Mechanical / Precision Engineering or relevant
• Min 5 years of experience in Oil & Gas industry with experience in Supplier Quality
• Oversea travelling is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

We are seeking a highly skilled Senior Process Integration Engineer to lead the development and optimization of Indium Phosphide (InP) based Edge Emitting Lasers (EELs). In this role, you will be the bridge between design and manufacturing, ensuring that our high-performance optoelectronic devices transition from concept to high-volume production with world-class reliability and yield.

You’ll be working at the frontier of photonics, handling complex material systems and sophisticated fabrication sequences to power the next generation of optical communications and sensing technologies.

Core Responsibilities

• Process Flow Ownership: Design, implement, and manage the full end-to-end fabrication flow for InP-based EELs (e.g., Fabry-Pérot, DFB, and DBR lasers).
• Yield & Performance Optimization: Identify and resolve integration bottlenecks. Use Statistical Process Control (SPC) and Design of Experiments (DOE) to improve device electro-optical performance (threshold current, wall-plug efficiency, and slope efficiency).
• Cross-Functional Collaboration: Partner with Epitaxy (MOCVD) teams to optimize regrowth interfaces and with the Design team to ensure Layout-to-Mask integrity.
• Advanced Fabrication Management: Oversee critical steps including dry/wet etching (ICP/RIE), dielectric deposition (PECVD/ALD), metallization etc.
• Failure Analysis: Coordinate Root Cause Analysis (RCA) on fabrication failures using SEM, TEM, and FIB diagnostics to drive continuous improvement.

Key Technical Requirements

• Materials Expertise: Deep understanding of III-V compound semiconductors, specifically the GaAs/InP/InGaAsP/material systems.
• Device Physics: Strong grasp of semiconductor laser physics
• Fabrication Proficiency: Hands-on experience or good understanding on photolithography, etching, thin film
• Characterization:  Understanding laser characterization data and correlating results back to specific process modules.

Qualifications

• Education: PhD or Master’s degree in Electrical Engineering, Physics, Materials Science, or a related field.
• Experience: 5+ years of direct experience in III-V semiconductor processing
• Software: Proficiency in JMP, or Python for data analysis;
• Mindset: A methodical troubleshooter who thrives in a cleanroom environment and enjoys the "detective work" of process integration.

Description

We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.

Key Responsibilities

Design and implement AI solutions using Azure AI services

Build and deploy machine learning / AI models on Azure cloud

Develop APIs and services to integrate AI capabilities into enterprise applications

Work with structured and unstructured data for model training and inference

Collaborate with business and technical teams to define AI requirements

Deploy, monitor, and optimize AI solutions in Azure environments

Ensure performance, scalability, and reliability of AI systems

Support troubleshooting and enhancement of existing AI solutions

Required Skills & Experience

Hands-on experience with Microsoft Azure AI / Azure Machine Learning

Strong understanding of AI/ML concepts and model lifecycle

Experience deploying and consuming models via APIs

Strong programming skills in Python / Java / similar languages

Experience working with data pipelines and data processing

Knowledge of REST API integration and system design

Good to Have

Experience with Azure services (App Service, Functions, AKS, Data Factory)

Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Exposure to MLOps practices (CI/CD for ML models)

Experience with cloud monitoring and logging tools

Understanding of model evaluation and performance tuning

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile teams

Eagerness to learn and adapt to new cloud AI technologies

About the Role
We are looking for a Junior to Mid-Level ML Engineer to join the Model Engineering team. This role is suited for someone who enjoys working hands-on with computer vision models and understands models as systems to be trained, evaluated, improved, and optimised. You will work across the model lifecycle, including dataset preparation, architecture development, model training, evaluation, performance analysis, and optimisation for real-world computer vision applications.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, object detection, segmentation, pose estimation, and action recognition.
• Improve model performance through architecture enhancements, custom heads, backbone modifications, loss functions, and training strategy optimisation.
• Design experiments, conduct ablation studies, benchmark new techniques, and analyse model trade-offs.
• Investigate edge cases, debug failure cases, and improve model accuracy, robustness, and efficiency.
• Optimise models based on practical constraints such as latency, throughput, resource usage, and hardware limitations.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Strong hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Experience with computer vision tasks such as classification, object detection, segmentation, pose estimation, or action recognition.
• Experience modifying models beyond configuration-level changes, including architectures, backbones, heads, loss functions, or training pipelines.
• Experience designing experiments, conducting ablation studies, analysing model performance, and debugging failure cases.
• Familiarity with multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with model optimisation techniques such as quantisation, pruning, or distillation.
• Familiarity with experiment tracking, reproducibility, and structured machine learning workflows.

About Us

Vivo Surgical is a patient-focused, clinician-driven medical device developer and manufacturer. Headquartered in Singapore with offices in China and Thailand, we are pioneering a novel endoscopic surgical robot for complex endoluminal surgeries. ISO 13485 certified with international accreditations awarded such as the US FDA and European CE mark, our devices target the medical needs of the world through innovative applications of science & technology. These encompass such fields as in vivo surgical LED lighting, portable endoscopy and endoscopic robots, which are strategically co-developed with world-class healthcare institutions and KOL collaborators. Join us as we build towards our vision of being Asia Pacific’s leading medical device developer and manufacturer.

About The Role

We value the importance of having a robust engineering team that would serve as a key pillar for sustained commercial success. To that end, we are looking for a Verification & Validation (V&V) Engineer to join us on this journey. In this role, you will be part of our fast-paced, fast-growing team and will take ownership of your role from the get-go. You will be planning, performing and documenting the system verification, integration and validation activities of our robotic system. You will be testing the requirements of our surgical robot to ensure that the product functions as intended. You will work with a multi-disciplinary team composed of mechanical, electrical, software and clinical engineers to develop the necessary test setups, protocols and reports. Your role will require you to work in close tandem with our external partners and suppliers.

Your responsibilities shall include the following:

• Interpret and translate system and subsystem design requirements into verification and validation plan.
• Develop test protocols, procedures and methodologies based on requirements and risk considerations.
• Design, develop test fixtures, jigs and test systems for verification activities.
• Execute testing, analyze results and generate comprehensive reports, ensuring full requirements traceability and system characterization.
• Coordinate and support external compliance testing (e.g. IEC 60601-1, IEC 60601-1-2, ISO 10993), including preparation and documentation.
• Contribute to risk management processes including Design FMEA and hazard analysis activities.
• Ensure all test equipment is properly maintained, calibrated and compliant with quality standards.
• Collaborate cross-functionally to investigate, troubleshoot and resolve system issues and failures.
• Drive continuous improvement by contributing ideas and supporting rapid design iterations to better meet user and clinical needs.

Your Qualifications & Experience

• Minimum Bachelor’s degree in Mechanical Engineering, Biomedical Engineering or related discipline.
• Minimum 3 years of experience in the medical device industry, with hands-on involvement in testing electromechanical systems.
• Solid understanding of standards such as IEC 60601-1, IEC 60601-1-2 and ISO 14971 is an advantage.
• Proven experience in developing and executing design verification protocols, generating test reports within a New Product Development (NPD) environment.
• Proficiency in CAD software such as SolidWorks and ability to interpret technical drawings is a plus.
• Familiarity with statistical analysis tools and methodologies such as Gage R&R and Minitab is a plus.
• Strong analytical, troubleshooting, problem-solving and communication skills.
• Adaptable, proactive, and able to thrive in a fast-paced, dynamic startup environment.

Contact

Please send your CV and cover letter to: hr@vivo-surgical.com. We look forward to receiving your application.

Responsibilities:

• Manage and oversee structured cabling projects, particularly in data center environments
• Coordinate with clients, contractors, and internal teams to ensure smooth project execution
• Plan, schedule, and monitor project progress to meet deadlines and budget requirements
• Review technical drawings, cable layouts, and design specifications
• Ensure installation works (copper & fiber optic cabling) meet industry standards and client requirements
• Conduct site inspections, testing, and commissioning activities
• Troubleshoot and resolve technical issues during project execution
• Prepare project documentation, reports, and handover materials
• Ensure compliance with safety regulations and company policies

Requirements:

• Diploma or Degree in Electrical Engineering, or related field
• Minimum 2–5 years of experience in structured cabling or data center projects
• Strong knowledge of structured cabling systems (e.g., Cat6/6A, fiber optic)
• Experience in data center infrastructure (rack setup, patching, containment, etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

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EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127