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

• Industry/ Organization Type: Shipbuilding and Repairing Service Provider
• Position Title: Ship Repair Engineer (Marine)
• Working Location: West (Nearest MRT: Clementi)
• Working Hours: 5.5 days (Mon-Fri: 8 am-5 pm, Sat: 8 am-12 pm)
• Salary Package: Up to SGD 4500 + AWS + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Conduct repair operations and oversee them meticulously onboard vessels, in port areas, anchorages, or shipyard settings.
• Manage and oversee the scheduling and execution of projects to ensure prompt completion.
• Perform assessments and determine cost estimates for repair requests.
• Understand technical drawings.
• Generate detailed technical and service reports, compile worklists, and maintain comprehensive documentation.
• Foster strong, collaborative relationships with clients and colleagues across all organizational levels.

APPLY NOW!!!

• Min. ITE in Marine / Mechanical Engineering
• Min. 3 years experience in a similar capacity in marine industries
• Proficiency in Microsoft Office
• Comfortable working on weekends if required

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #66173 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 | Celine Tan | EA Reg No.: R1873694

Responsibilities:

• Perform on-site installation, troubleshooting and debugging of autonomous vehicle (AV) systems and related components.
• Conduct and facilitate regular inspections, diagnostic tests, and scheduled maintenance for all vehicle assets.
• Assist in routine data collection and documentation optimization or preventive maintenance.
• Coordinate operational activities including scheduling, resource allocation, and route optimization for the AV fleet
• Collaborate with cross-functional teams to facilitate coordination between technical tasks and operational requirements.
• Any other additional duties relating to product and operations support.

Requirements:

• An Engineering diploma or degree in Electrical, Electronic, Mechatronics, Robotics, or Automation.
• Hands-on experience in systems deployment, service engineering, technical support, and/or operations coordination.
• Capability to adjust to a shift-based support working environment.
• Experience working in Linux OS environment.
• Practical expertise in electrical and electronic wiring as well as mechanical systems.
• Familiarity with ROS is a plus.
• A Class 3/4 driving license will be an added advantage.

☑ Basic $ 4500 - $ 6000

☑ MNC - High Bonuses & Allowances !!

☑ 5 Days (Mon – Fri: 8.00pm – 5.30pm / 8.30am – 6pm )

☑ East Region – Maincon Builder

Job Description

• Develop and manage project schedules from design to commissioning.
• Estimate durations, resources, and prepare progress reports.
• Handle tender submissions, site planning, and progress monitoring.
• Manage EOT claims and oversee RI/TOP schedules and handovers.

Job Requirements:

• Diploma/Degree in Civil Engineering or related
• Min 3 years of experience in construction planning building-related facilities.
• Proficiency in MS Project Planner, Primavera, or Synchro.

Interested applicants are welcome to apply or send your updated resume to [email protected]

Only shortlisted candidate will be notified

Kam Soo Leng, Yvette

Registration: R22107492

Ship Repair Engineer

• Location: Penjuru (Transport provided at Jurong East)
• Monday to Friday: 8:00 AM – 5:00 PM
• Saturday: 8:00 AM – 12:00 PM
• Salary: S$ 3,300 - 4,000

Job scopes:

• Manage day-to-day operations and coordination of afloat repairs, load testing & inspection services on ships in Singapore and the region.
• Assist Service Manager in handling the company’s field service operations, in technical, operational and commercial matters
• Prepare quotations, costing for invoice, tools & equipment lists and procurement of parts.
• Manage and coordinate service job execution.
• Liaise with our customers, such as Ship Managers, Offshore Operators, Shipyards, Agents and others
• Manage the tools & equipment which are kept at our warehouse. Send for recertification periodically as required.
• Coordinate with Ship Agents, Ports & Ship Yards, handle permits and schedule service attendances.
• Coordinate and arrange transport of Engineers, tools & equipment to and from job sites
• Answer customer queries and provide remote technical support.

Job Requirements:

• Diploma in Marine Engineering or similar.
• Past experience in marine cranes & deck machinery required.
• Experience in coordinating marine service work, especially afloat repairs will be an advantage.
• Able to commit overtime.

Apply now for Interview arrangement

Daniel Wong | Senior Consultant | Reg No: R2095781

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

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