Total 622 structural engineer job vacancies in Pasir Gudang

• Position: Electrical Engineer

• Location: PSA Terminal/Local Shipyards

• Working Hours: Monday to Friday (8.30am - 5.30pm)

• Salary (commensurate with experience): Up to $4,500 + OT Payable + Variable Bonus

• Duration: Permanent

• Industry: Shipbuilding and Engineering

Main Responsibilities:

• Troubleshooting and maintenance of marine engine control system electrical and automation systems

• Attend vessel service jobs onboard ships and shipyards

• Prepare service reports and technical documentation

• Support commissioning, repair, and testing activities

• Coordinate with customers, service engineers, and project teams

Requirements:

• Possess Diploma in Electrical Engineering or its equivalent

• Minimum 3 years working experience in the marine industry

• Experience in marine engine control systems, automation, troubleshooting, or electrical maintenance is preferred

• Able to attend onboard vessels and overseas assignments when required

Email to: abby.pang@searchpersonnel.com.sg for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

As a Software Engineer III in the Singapore Cloud and Third Party Security team, you will work independently to deliver on well-defined engineering milestones. You will contribute to building and scaling products that identify and secure Alphabet's public cloud and third-party environment usage. You will collaborate closely with senior engineers and cross-functional partners, leveraging this opportunity to deepen your expertise in cloud security engineering while helping establish our Singapore software engineering presence.

Qualifications

Job responsibilities

• Implement and test software features, APIs, and tools to support cloud security controls and third-party risk remediation.
• Deliver end-to-end tasks and milestones for projects with minimal assistance from more senior team members, planning and organizing your own work effectively.
• Participate in system design and architectural discussions, contributing technical perspectives and helping select appropriate approaches to address technical challenges.
• Collaborate with immediate team members and cross-functional partners to deliver on project milestones and proactively manage blockers.
• Maintain high code quality by writing comprehensive unit/integration tests, participating in code reviews, and improving documentation.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software for data privacy or security (e.g., identity and access management).
• Experience with modern software engineering practices, including unit testing, continuous integration, and code review.
• Experience in Go and Python and familiarity with public cloud platforms and basic cloud security concepts.
• Ability to learn quickly and adapt to new technologies and ambiguous problem spaces.
• Excellent communication skills and ability to collaborate effectively within a global team.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

• Position: Sales Engineer

• Location: Kallang

• Working hours: Mondays to Fridays (8.30am - 5.30pm), Saturday (8.30am - 12.30pm); (One Saturday/month upon confirmation) 

• Salary (commensurate with experience): Up to $5,000 Basic Salary + Phone Allowance + Transport Allowance + AWS + Variable Bonus

• Duration: Permanent

• Industry: Pump manufacturer

Main Responsibilities:

• Grow and service existing accounts 

• Attend to sales enquiries, sales support and site related matters 

• Visit customers at their work place/office 

• Assist to monitor payments from customers 

• Any related ad-hoc duties assigned by management 

Requirements:

• Possess NiTEC or Diploma in Mechanical / Electrical Engineering, Mechatronics or equivalent

• At least 1 year of experience with pumps and systems is preferred

• Possess class 3 driving license

Email to: abby.pang@searchpersonnel.com.sg for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic, and massive batch pipelines seamlessly processing billions of records per day.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Develop effective machine learning models.
• Work with product and marketing teams for experimentation and launch.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience building data pipelines for machine learning.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production
• Experience in analyzing and improving efficiency, scalability, and stability of various systems
• Experience with sandboxing solutions, ensuring the highest standards of security and privacy.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Responsibilities

• Lead a team of line leaders and operators to meet daily production output, quality, productivity and yield.

• Conduct daily pass-down meetings and escalate line issues if any

• Oversee manpower/overtime and consumables planning

• Ensure manufacturing and safety procedures are being followed

• Conduct training/coaching to leaders & operators to improve performance

• Implement ideas and improvement activities to prevent human errors

• Ensure good discipline and housekeeping in the line

• Coordinate with other departments to support projects, evaluations and preventive maintenance activities in the fab

Requirements

• Diploma/Degree in Engineering/Science/Production/IT

• Preferably experienced in high-tech, high-vol manufacturing environment

• Good leadership and communication skills

• Willing to work Permanent12-hour shifts (day or night)

My client:

My client is a well-established technology company building large-scale, consumer-facing digital platforms used by millions of users globally. The team is highly engineering-driven, with strong emphasis on system reliability, automation, and operational excellence. This role offers the opportunity to work on production-critical systems, collaborate closely with backend and platform engineers, and take real ownership of reliability and infrastructure in a fast-moving, high-impact environment.

Job Responsibilities:

• Ensure high availability and reliability of production systems supporting large-scale online services.
• Own core operational functions including resource management, incident response, capacity planning, monitoring, and reliability improvements.
• Review system and infrastructure designs, proactively identifying potential reliability and scalability risks.
• Analyze system bottlenecks and structural weaknesses, and lead optimization initiatives to improve stability and cost efficiency.
• Participate in 24/7 on-call rotations, responding quickly to production incidents and driving root cause analysis.
• Continuously improve operational processes through automation, reducing manual intervention and operational overhead.

Job Requirements:

• Bachelor’s degree in Computer Science or a related technical field.
• Proficiency in Python, Go, or Shell scripting, with the ability to independently build tools or platforms.
• Solid experience with cloud infrastructure; exposure to multi-cloud or hybrid environments is a plus.
• Strong fundamentals in Linux systems, networking, load balancing, and high-availability / disaster recovery design.
• Hands-on experience operating or supporting large-scale web services in production environments.
• Self-motivated, responsible, and comfortable working in a fast-paced, reliability-critical environment.

What They Offer

• A large-scale, production-grade technical environment supporting high-traffic, consumer-facing platforms.
• A stable yet fast-evolving engineering environment with long-term technical depth and learning potential.
• Close collaboration with experienced engineers in a flat, open, and execution-focused team culture.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Semiconductor-Process-Engineer/33160-en_GB/

We regret that only shortlisted candidates will be notified.

We are seeking an experienced Process Engineer for process innovation, continuous improvement, and advanced technology development initiatives. This role focuses on improving yield, performance, scalability, and cost efficiency across semiconductor fabrication processes.

The ideal candidate brings strong analytical capability, hands-on semiconductor process knowledge, and a passion for driving measurable improvements through data-driven methodologies, experimentation, and cross-functional collaboration.

Key Responsibilities

·       Develop, design and optimise process integration flow for Silicon based and lithium niobate based photonics devices

·       Design of Experiments (DOE) to optimise critical process parameters (throughput, yield, etc.).

·       Collaborate with device, integration, equipment, and reliability teams to enhance process capability.

·       Drive technology transfer from R&D to manufacturing with optimised process windows.

·       Prepare technical documentation, reports, and presentations for internal and external stakeholders.

Qualifications

·       Bachelor’s, Master’s or PhD in Electrical Engineering, Physics, Material Science or related field.

·       3+ years of semiconductor process engineering experience (R&D or manufacturing).

·       Strong understanding of semiconductor fabrication process flows (lithography, etch, deposition, implantation, CMP, etc.).

·       Demonstrated experience in process optimisation and yield improvement.

·       Hands-on experience with DOE, statistical modeling, and process capability analysis.

·       Proficiency with data analysis tools such as Python, origin or similar.

·       Experience leading cross-functional technical projects.

Please be informed that only shortlisted candidates will be informed.

Key Tasks and Responsibilities:

• Technical Guidance – Provide expert advice and technical support to the wider BWO organisation on Process Safety / Technical Safety activities in Asset Operations, Projects and Concept Development.
• Verification Activities – Ensure Asset Operations and Projects compliance with Technical Standards, Design Performance Standards and Operational Performance Standards. Support the internal verification process, performing process safety verification activities in coordination with the Verification / Continuous Improvement department.
• Monitor and report Key Performance Indicators (KPIs) related to Process Safety. Conduct regular performance analysis to uncover weak signals and proactively identify areas of improvement.
• Support development and maintenance of BWO’s Technical Standards – These define the minimum requirements for Asset Operations and Projects within own discipline.
• Support Level 3 Incident Assessments, where required.
• Continually seek improvements in personal areas of responsibility.

Qualifications:

• A minimum of 10+ years’ experience in the offshore Oil & Gas industry, or closely related industry.
• Technical Safety experience in Projects is required, preferably within the FPSO industry.
• Operational expertise from both project and operations phases of offshore facilities, including experience in audit and verification activities is preferred.

Skills:

• Team player with the ability to lead.
• Proactive and able to work independently, applying a structured and systematic approach.
• Strong communication skills and the ability to ask relevant questions and provide thorough explanations.
• Ability to deliver high quality work on time.
• Ability to work in a multidisciplinary / multinational environment.
• In-depth knowledge of Technical Safety design and Process Safety.
• Well-versed in relevant international Codes and Standards.
• Good awareness of safety management systems and best practices across the industry.

We are seeking a motivated and detail-oriented Assistant Mechanical Engineer to support the Design and Engineering team in the development of mechanical systems. 

The ideal candidate should possess strong foundation in mechanical engineering principles and have practical experience using AutoCAD for drafting and design work. 

This role offers an excellent opportunity to work closely with Senior Product Designer on a variety of engineering projects.

Key Responsibilities

• Assist in the design of mechanical components
• Prepare and modify technical drawings, layouts, and schematics using AutoCAD and 3D software. 
• Support project planning and bill of material activities
• Review technical specifications of material and parts
• Maintain engineering records, drawings, and reports
• Participate in project meetings as required

Qualifications

• Experienced in Mechanical Engineering or a related field
• Knowledgeable in AutoCAD or 3Dvsoftware
• Basic understanding of mechanical engineering drawing
• Good communication and teamwork ability

Preferred Skills

• Experience with 2D and 3D CAD drafting.
• Knowledge of Microsoft Office applications.
• Experience with additional design software such as SolidWorks or Inventor is a plus

Working Conditions

• Office-based engineering and design work. 
• Collaboration with engineering, production, and project teams

Benefits

• Professional development and training opportunities
• 5 days work Mon to Fri 9am to 6pm
• Medical insurance

What you will do:

Acts as on-site project leader to plan, execute, and complete assigned projects. Delegates tasks to execute and fully complete assigned projects. Coordinates communication with customer during all phases of the project. Coordinates the work of subcontractors. 

How you will do it:

• Define scope, budget and schedule for projects.

• Device project implementation methodology.

• Plan and oversee work schedule for the multiple small to medium scale project under responsibility, in coordination with supervisor.

• Identify potential project risks and recommend appropriate resolutions.

• Establish effective communication with customer.

• Track and update progress, task and project health to supervisors.

• Ensure and monitor compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.

• Perform regular quality audit for all the suppliers and sub-contractors.

• Identify and secure variation order.

• Cost control.  Track, monitor and ensure delivery of financial commitment as per KPI.

• Managing reports and documents.

• Work closely with Sales team for tender bidding.

• Supervision of sub-contractors’ work at site.

• Schedule purchase and deliveries of all materials for the project in a timely manner.

• Able to work with drawings and submission as per project requirement.

• Assign task to, and supervise Assistant Project Engineer, Technician, if any.

• System applications, drafting, data base generation and commissioning.

• Follow-up on payment from customers and verify payment to our suppliers.

• Train customer and provide first year maintenance warranty schedule visit.

• Hand over project to customer and later to service team.

• And other related works as assigned by your superior.

What we look for:

• Degree with minimum 3 years relevant working experience in BMS project.

• Excel, Word and Project essential.

• Require interaction with clients, consultants and sub-contractors, etc.

• Need to work odd hours as and when required, whenever the work need to be done on time.