5 days’ work week (rotating off day either Saturday or Monday)

Afternoon shift (1500 – 0030),

Night shift (1800 – 0330)

This position is responsible for the Air Export operations and support internal department to meet customer satisfaction.

Job Description

-Coordinate with Customer Service and Warehouse on operation matters

-Process Shipping Document and execute AWBs

-Ensure accurate input of dimension, weight , rates and other data into system

-Perform check and verification of compliance for DG and Temperature Control cargo

-Send pre-alerts to overseas destination

-Monitor consol cut-off and cargo lodge in time for urgent shipment

Pre-Requisite of candidate:

-Must be PC-liberate and comfortable using or learning software

-Must be a Team Player and able to work independently

-Must be careful, meticulous and self motivated

-Must possess a sense of urgency and responsibility in work

-At least 1-2 years of working experience.

- training will be provided

-Prior work experience in this industry is not required, but will be advantageous if have

-Shift operation Job

Specific Job Role/ Scope - Cross Trade

• To handle & co-ordinate cross-trade shipment.
• Support cross trade shipment from 4 business units.
• Support creation of cross trade job in system.

Specific Job Role/ Scope - Export OPS

• Daily export shipment execution.
• Supervise shift operations & troubleshooting of shipments.
• Support future night AOG activations from BD.

Responsibilities and Duties:

• Receive job activation from client/ other departments through email.
• Co-ordinate with respective sales/ origin/ destination oversea agents and clients (could be base in SIN or overseas)
• PO chase, and detailed needed such as cargo ready take/ pick up date/ flight details.
• Vetting and send draft pre-alerts to oversea agents and client for approval.
• Checking, monitoring of air shipment uplifting/ arrival and sea vsl sailing/ arrival.
• Follow up with shipment and sent to client POD/PRO upon receipt from overseas agents.
• Update monitoring chart on each event/ activity and prepare sequence of event report if required.
• To update and maintain sales and/ or client's SOP.
• To create shipment through our in-house computer system.
• Any ad-hoc task assigned.

Responsibilities and Duties: Export OPS

• Execute export shipments (Consol/ Direct).
• Scan pre-alert to oversea agent/ AWB to direct shipper.
• Submission of FWB/ FHL promptly.
• Liaising with E-CR personnel for customer shipment related.
• Liaising with warehouse personnel for cargo related.
• Liaising with terminal personnel for lodge in of cargo.
• Handle night phone enquiries.
• Follow up with email correspondence from internal/ external stakeholders.
• Compliance with shipment requirements.
• To check daily uplifting of shipments
• Reporting of Offloading Report/ Follow up on Cargo Irregularities
• Oversee daily trucking service

Additional Task (if any):

• Sharing of shipment discrepancies with suggestions/ improvements.
• Perform STM trucking functions.
• Perform weekends / PH when required.

Job Requirements:

• At least 2-3 years of working experience in air/ sea freight handling

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.

• Working location at Changi Airfreight Centre

• Working hour: Monday – Friday (8:30am – 6:00pm)

• AWS + Variable Bonus

• Excellent Welfare & Benefits

• Well Established MNC Freight Forwarding Company

Job Scope

• Supervise Ocean Operation Team in professional manner, to be in line with company BP and Budget.
• To source lower cost and better service with approved vendors and co-loaders, to maximize monthly Ocean GP and provide good rate and service to sales to secure more business.
• To work with Ocean leader to come out workable and aggressive yearly BP and Budget.
• Reply overseas offices the daily rate request as well as RFQ /Bidding.
• Other assignment by management if any.

Requirement

• GCE O Level / Diploma in Logistics Management and above
• 3 – 5 years of relevant working experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

KHOO SOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

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