Total 31 construction engineer job vacancies in Transportation / Logistics category in D04 Harbourfront,Telok Blangah, Sentosa Island

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description:

• Day-to-day customer service and procurement activities - Responsible for managing daily customer service operations and manage entire supply chain process from procurement to distribution to ensure timely and cost-effective delivery of products.
• Demand planning - Work closely with sales and marketing teams to forecast demand accurately.
• Production Planning - Collaborate with Operations team to develop production schedules and optimize the production planning that align with demand forecasts.
• Inventory Management - Work within the team to implement robust inventory control measures to maintain optimal stock levels. Monitor and analyze inventory turnover, taking proactive measures to prevent shortages or overstock situations.
• Logistics Coordination - Coordinate logistics activities, including transportation, shipping, and customs clearance. Optimize transportation routes and methods to reduce costs and enhance efficiency.
• Relationship Management - Build and maintain strong relationships with local and overseas suppliers and customers. Develop good vendor management with warehouse personnel for effective inventory control.
• Licensing - Manage all license requirements for Import/Export & transportation with compliance to Government Authority of Singapore.
• Collaboration and Communication - Work with product management team to review product specification/technical data. Collaborate with quality control teams to ensure that all products meet industry standards and customer specifications.
• Perform any other ad hoc tasks assigned by Team leader / Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering field.
• Minimum of 2 Years of working experience in a related field.
• Preferably with related experience in Chemical Distribution/ Semiconductor industries.
• Excellent written and spoken communication skills in English and ideally proficient in Chinese (in order to negotiate and handle queries with overseas Mandarin speaking suppliers/vendors in regards with the import & export shipment arrangement matters).
• Hands on experience using SAP/Navision system, strong in Microsoft Office, especially Excel would be an advantage.
• Experience in ISO9001, ISO14001 and ISO 45001.
• Ability to prioritize workload, make systematic decisions under pressure.
• Possess an entrepreneurial ‘can do’ mindset, able to work in a start-up environment.
• Possess excellent interpersonal skills, strong problem-solving skills and sense of ownership.
• Willing to travel if required.

• 5 days, Tuas, Transport provided
• Hybrid work arrangement after probation period
• Lots of learning opportunties
• $4000 - $4500 basic, AWS
• Allowances, performance bonus

Administrative Support:

• Manage customer orders and data in ERP systems.
• Ensure timely reporting to stakeholders and maintain accurate records.

Sales and Customer Support:

• Provide solutions and technical advice to customers.
• Evaluate customer requirements and ensure compliance with company terms and conditions.
• Coordinate cost estimations and timelines for deliveries.

Order Management:

• Oversee order handling, ensuring timely delivery and accurate reporting.
• Coordinate with supply chain teams for logistics and transportation.

Teamwork and Innovation:

• Identify process improvements and support the development of innovative solutions.
• Foster collaboration among departments.

Quality Control:

• Inspect products to meet quality standards and customer expectations.

Requirements:

• Possess minimum a Diploma in Engineering or Supply Chain Management
• Minimum 2-3 years of relevant experience in Engineering, Marine/Oil & gas environment
• Strong knowledge of parts sourcing, order processing, and client engagement.
• Ability to manage delivery and invoicing efficiently.
• Responsible and with positive attitude

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

• 5 days, Tuas, Transport provided
• Hybrid mode arrangement
• Lots of learning opportunties
• $4000 - $4200 basic, AWS
• Allowances, performance bonus

Administrative Support:

• Manage customer orders and data in ERP systems.
• Ensure timely reporting to stakeholders and maintain accurate records.

Sales and Customer Support:

• Provide solutions and technical advice to customers.
• Evaluate customer requirements and ensure compliance with company terms and conditions.
• Coordinate cost estimations and timelines for deliveries.

Order Management:

• Oversee order handling, ensuring timely delivery and accurate reporting.
• Coordinate with supply chain teams for logistics and transportation.

Teamwork and Innovation:

• Identify process improvements and support the development of innovative solutions.
• Foster collaboration among departments.

Quality Control:

• Inspect products to meet quality standards and customer expectations.

Requirements:

• Possess a Diploma in Engineering or Supply Chain Management
• MInimum 2-3 years of relevant experience in Engineering, Marine/Oil & gas environment
• Strong knowledge of parts sourcing, order processing, and client engagement.
• Ability to manage delivery and invoicing efficiently.
• Responsible and with positive attitude

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

• 5 days, Jurong, Transport provided
• $4200 - $5000 basic salary, AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year of experience in Process Engineering relating to Supply Chain
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Pick up workers in the morning and evening
• Overseeing the loading and offloading of goods.
• Inspecting and cleaning the vehicle.
• Safely transporting goods to and from distribution centers.
• Obeying the rules of the road and following company safety regulations.
• Finding the quickest and safest route to your destination.
• Completing travel logs.
• Following accident procedures.
• Reporting any accidents or delays.
• Conducting minor roadside repairs on the truck.
• Maintaining a good relationship with customers.

Requirements:

• Class 4 licence
• 1+ years' experience as a lorry driver.
• Clean driving record.
• Must supply a medical certificate.
• Experience with GPS navigation and mapping.
• Ability to drive long distances while maintaining focus.
• Self-motivated and able to work without supervision.

Job Description:

• Plan, manage and maintain the BIM data in compliance with project requirements
• Create and maintain the project template files to assure standards.
• Coordinate with other discipline and engineers to manage and resolve the clashes.
• Prepare Transmittal on drawings for submission or issuance to sub-contractors
• Supersede and updated the current revision status
• Compile of As-built drawing upon project completion
• Minor coordination of Architectural / Structural / M&E drawings
• Detailing and documentation of working drawing
• Preparation of Bar Bending Schedule
• Any other duties assigned

Job Requirement:

• Holds a related degree
• Minimum 5 years experience in construction industry and have relatable experiences on BIM Drafter.
• Able to work well in teams and indepenedently
• Experience in doing rebar bending scheduling
• Willing to work in Site Office environment

Brief Summary

• Basic $4000 + AWS + VB + Medical benefits
• 5 Days : 8.30am-5.30pm
• Working Location @ West
• AL 14 Days, Birthday Leave, Annual health check-up, Customized Gift for holiday season
• Required to attend a 2-week training session in Shanghai HQ
• New Headcounts

Responsibilities

• Assembly, testing, and maintenance of mechanical, electronic, or automated equipment.
• Adhere to operational protocols to ensure quality control and proper functionality of equipment.
• Collaborate with engineers to diagnose malfunctions and enhance system performance.
• Assist in documenting testing procedures and results.
• Maintain a safe and organized work environment, complying with workplace safety standards.
• Conduct wafer testing on the wafer platform according to the schedule.
• Perform die testing on the die platform as scheduled.
• Execute die sorting on the sorting platform based on the timeline provided.
• Uphold and manage 6S standards within the Fab environment.

Requirements:

• Min 1 year relevant experience
• Proficiency in handling mechanical, electronic, or automated equipment.
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

EA Reg. No: R1988238

Job Description:

• Plan, manage and maintain the BIM data in compliance with project requirements
• Create and maintain the project template files to assure standards.
• Coordinate with other discipline and engineers to manage and resolve the clashes.
• Prepare Transmittal on drawings for submission or issuance to sub-contractors
• Supersede and updated the current revision status
• Compile of As-built drawing upon project completion
• Minor coordination of Architectural / Structural / M&E drawings
• Detailing and documentation of working drawing
• Preparation of Bar Bending Schedule
• Any other duties assigned

Job Requirement:

• Holds a related degree
• Minimum 5 years experience in construction industry and have relatable experiences on BIM Drafter.
• Able to work well in teams and indepenedently
• Experience in doing rebar bending scheduling
• Willing to work in Site Office environment

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

CLASS 4 DRIVERS

Driver Responsibilities

1. Deliveries of goods to client premises

2. Conduct inspection of the vehicle before departing to deliver goods

3. Loading, transporting and delivering items to clients or businesses in a safe and timely manner

4. Ensure daily delivery fulfilment

5. Assisting with loading and unloading items from vehicles

6. Responsible for the clean linessand working condition of company'svehicle

7. Any other ad-hoc duties assigned

Knowledge and relevant experience

• Possess valid Singapore Class4License (Experience in driving a truck for more than 3years)
• Willingness to adhere to assigned routes,schedules, safety procedures,and transportation laws
• Strong time management and customer service skills
• Attention to detail
• Represent the company in a professional manner
• Possess good attitude and polite

Qualifications to apply for job

• High school or diploma or other technical certificates, such as courses for qualified technicians or specialists is preferred.
• Valid class 4 driving license. Cleandriving record.
• Sound knowledge of road safetyregulations.
• Working knowledge of local roads and routes
• The ability to utilize maps, GPSsystems,and car manuals.
• Effectivecommunicationskills.Punctual andreliable.
• Providing accurate time records ofthecompany vehicle’s coming andgoings.
• Reporting any accidents, injuries,andvehicle damage to management

1) Deliver goods to location designated by company

2) Must possess class 3 and class 4

3) Must be Physically Fit

4) Very familiar with Singapore Directory and roads

5) Very good driving skills

6) Clean driving record

7) Quick learner, must learn how to use the mobile app for completing delivery transactions

8) Responsible

9) Service Oriented

10) Good customer service

11) Vehicle will be provided

12) Season Parking, cashcard and diesel card provided by the company

Highlights:

• Starting salary: $2500-$2800
• OT required (payable)

Responsibilities

• Adhere to proper procedure for safe lane closure and opening
• Perform transportation duties as deployed by the supervisor and carry out the duties diligently as per instructed
• Responsible for daily routine checks and maintain the general cleanliness of the vehicle
• Run transportation errands as and when required
• Any other ad-hoc duties as assigned by supervisor

Requirements

• Valid class 4 driving license
• Able to commit to 6-day work week and daily OT
• At least 1 year of lorry driving experience
• Familiar with Singapore roads and use of navigation apps
• Drive in a safe manner at all times and adhering to traffic rules & regulations stated in the Road Traffic Act
• Able to work on weekends and night work if required

We value all applicants and thank you for your interest. However, please be advised that only shortlisted candidates will be contacted.

Job Description

· Operate lorry crane in safe manner.

· Able to operate with 45 tons lorry crane.

· Perform basic and upkeeping of vehicle, daily routine inspection of crane safety devices, load indicators in good, clean and safe conditions before and after any lifting operations.

· Able to assist in loading and unloading of materials and machinery.

· Comply with all road safety, traffic regulations, safe work practices, site safety.

· Report any issues or repairs needed.

· Other ad hoc duties as assigned by Supervisor.

Job Requirements

· Possess valid Singapore Driving License Class 4

· Possess valid WSQ Lorry crane operator certificate.

· Must have a clean driving track record.

· Having minimum 3 years of lorry crane driving experience in construction industry.

· Able to work independently, good work attitude & good teamwork.

Job scope

· Fetch workers from Dormitory to different worksites.

· Fetch workers from the Workplace to Dormitory.

· Deliver Materials, Invoices, and goods.

· Collection of goods from supplier or vendor.

· Maintain cleanliness and good vehicle conditions at all times

· Attend to other ad hoc duties instructed by immediate superior.

· Able to work on Sundays and public holidays if required

Job Requirements

At least 1 year of working experience

Minimum class 3 license required

Able to communicate in basic English

Job Description:

• Plan, manage and maintain the BIM data in compliance with project requirements
• Create and maintain the project template files to assure standards.
• Coordinate with other discipline and engineers to manage and resolve the clashes.
• Prepare Transmittal on drawings for submission or issuance to sub-contractors
• Supersede and updated the current revision status
• Compile of As-built drawing upon project completion
• Minor coordination of Architectural / Structural / M&E drawings
• Detailing and documentation of working drawing
• Preparation of Bar Bending Schedule
• Any other duties assigned

Job Requirement:

• Holds a related degree
• Minimum 5 years experience in construction industry and have relatable experiences on BIM Drafter.
• Able to work well in teams and indepenedently
• Experience in doing rebar bending scheduling
• Willing to work in Site Office environment

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

1) Deliver goods to location designated by company

2) Must possess class 3 and class 4

3) Must be Physically Fit

4) Very familiar with Singapore Directory and roads

5) Very good driving skills

6) Clean driving record

7) Quick learner, must learn how to use the mobile app for completing delivery transactions

8) Responsible

9) Service Oriented

10) Good customer service

11) Vehicle will be provided

12) Season Parking, cashcard and diesel card provided by the company