• Provide technical support, maintenance and servicing/repairing of equipment, instruments and systems at site.

• Perform on-site installation and setup of equipment and systems with strong competent skills.

• Assist devices checking, technical demo, testing & training for customers.

• Checking technical specification, documentation and drawings plus prewire.

• Understand application process flow, to provide service to users by promptly responding to their queries, with necessary evaluation and prioritization.

Primary Considerations:

1) PR/Singaporean

2) Diploma in Electrical Enginer, at least

Secondary Consideration:

1) BCCPE cert

What you will do

• Customer support responsibilities, ensuring timely and effective resolution of customer inquiries and issues
• Project management involvement, including planning, execution, and delivery
• Support marketing promotion activities to enhance product visibility and market presence
• Engage in clear and effective communication with customers to address their needs and concerns
• Aid in debugging and testing to ensure product quality and reliability

Required Skills

• Excellent proficiency in English and Mandarin, both written and verbal, to liaise with our affiliates from different regions.
• Preferred experience in display or scalar-related technologies
• Strong communication skills, with the ability to effectively convey technical concepts
• Desirable capability in system integration to facilitate seamless collaboration across different components and subsystems

Location: One North, Singapore

Job Purposes

The Executive / Senior Engineer is responsible for overall administrator and management of

Maintenance Management System (MMS) and improving the effectiveness and efficiency of

maintenance activities of Maintenance and Engineering (M&E) Group. The core focus of the job will be

ensuring proper configuration and maintenance for MMS and analyzing maintenance performance data,

implementing process improvements, and supporting asset reliability efforts.

Duties and Responsibilities

1. Maintain user roles, data quality and system’s performance.

2. Provide user support and ensure system performance monitoring and troubleshoot Maximo-related

issues.

3. Perform routine maintenance on MMS.

4. Develop custom reports and dashboards to track and report on the effectiveness of maintenance

interventions and the resulting improvements in asset performance.

5. Facilitate audits conducted by internal auditors, the authority, and other external agencies.

6. Facilitate and coordinate external projects with LTA and/or external parties.

7. May be required to perform work during night hours and over weekends/public holidays.

Qualifications and Work Experience

1. Degree in Engineering discipline.

2. In-depth knowledge of IBM Maximo Asset Management Platform.

3. Understanding of IT infrastructure, databases and integration methods,

4. Experience with database management (SQL Server) and analytical tools (Power BI, Qlik).

5. Prior work experience in railway industry will be advantageous.

Skills and Competencies

1. Proficiency in Microsoft Office Suite and IBM Maximo Asset Management

2. Proficiency in written communication and developing procedures.

3. Experience with automation software such as Power Automate is desired.

4. Basic coding skills (VBA, R, or Python) will be advantageous.

This role comes with good base salary and attractive bonuses depending on sales performance.

Job Responsibilities

• Provide pre-sales support for a range of CCTV and network technical solutions, including proposal development and technical presentations
• Identify and develop business opportunities with clients, promoting solutions and delivering tailored technical proposals
• Design and deliver competitive product solutions, ensuring alignment with client requirements
• Collaborate with the sales team to ensure client needs are met, and provide technical expertise to drive sales growth
• Build strong relationships with clients, understanding their business and technical needs, and providing timely support for inquiries and technical issues
• Deliver product training to clients, enhancing their understanding and adoption of CCTV and network solutions

Job Requirements

• Proven experience with CCTV products and solutions
• At least 1 year of experience in the CCTV or networking domain
• Excellent communication and influencing skills, with the ability to negotiate and align technical solutions with customer needs
• Strong technical troubleshooting skills, with experience in resolving complex technical issues
• Preferred certifications: CCNA, CCNP, or other relevant networking credentials

We regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

Data provided is for recruitment purposes only

EA Registration Number: R1332294

Business Registration Number: 201735941W

Licence Number: 18S9037

Location: Henderson Road

Working Hour: 5 Days work Week 9AM – 6PM

Salary: $4,500 - $5,000

Job Scope

• Be the primary technical contact for customers and in house repair jobs
• Assist customers in the repair and maintenance activities, but also with Providing spare parts and associate services
• Identify and translate customers’ requests ;
• Handle technical incidents and establish reports (troubleshooting, expertise, gathering useful information for analysis
• Guarantee, when necessary, the proper processing of offers : spare parts, onsite interventions and repairs.
• Coordinate onsite interventions actions and ensure an ongoing communication to the customer.
• Provide technical assistance to the Repairs Department and Field Service Technicians + Business Centers ;
• Occasionally promote to customers, technical training sessions and sales of spare parts and repairs ;
• Initiate, together with the appropriate stakeholders, the implementation of corrective actions that arose from customer complaints/claims.
• Be the technical interface within the departments, such as Engineering, Purchasing, Sales, Production, Global Service and customers
• Identify potential sales opportunities and forward the information to the sales teams.
• Identify the spare parts needed for Sales team to quote to customer
• Recommend spare parts needed for regular maintenance/during troubleshooting
• Acts as last form of technical checks to make sure the spares quoted is according to customer’s requirement
• curb warranty costs.
• Be responsible for the collection of outstanding payments for the Customer Service department
• Maintain proper records of interaction with customers within the CRM tool
• Control offers and order confirmation as per applicable procedures

Requirements

• Have 3 to 5 years of experience in Mechanical Engineering. Marine engineering with mechanical knowledge will also be considered.
• Degree in Mechanical Engineering
• With hands on experience on compressors, turbines and pumps mechanically
• Be willing to travel if needed.

Quah Siying (Jeslyn) R1982418

The Supreme HR Advisory Pte Ltd 14C7279

As a IT Manager | Desktop Support, the broad area of your job responsibilities will cover the following:

Ability to guide the team and resolve incident escalated by Desktop Support Assistant in confirming the validity of the problem and seeking and researching for known solutions related to these more complex issues.

Performed Desktop Support services to users

This includes receiving, prioritizing, documenting and actively resolving end user help requests and escalating incidents when necessary to maintain customer satisfaction and SLA expectations.

Perform asset inventories

Perform technical escalation to 3rd party vendor or resolver groups (where appropriate)

Updates Incident records

Creates and updates work instructions (where necessary)

Document standards and procedures (where necessary)

Ideal candidate should possess the following:

Min 7 years’ Service Desk front and back-office experience with experience in leading a team

AV equipment experiences will be a plus

Experience in managing virtual team

Strong people management and leadership skills

Strong analytical and project management skills

You will be part of our Process + Systems team, adding your leadership expertise + skills to the delivery of Customer + Operational Excellence.

WHAT WILL YOU BE DOING ON A DAILY BASIS?

Your primary objective is to take care about the integration of new Sea Logistics systems into the operational daily work, as well as continuously seek for improvements in existing processes + systems.

• Analyze + design + improve our systems landscape.
• Manage projects for system implementations.
• Balance country systems requirements versus global planning to ensure optimal resource allocation.
• Support 1st and 2nd Level Support by knowledge sharing
• Analyze risks + costs of systems implementation.
• Organize the testing of different systems with all stakeholders.
• Coordinate +establish + moderate workshops with the aim to deliver continuous improvement.

• Position title: Sales Engineer
• Location: Loyang Way, Loyang Industrial Estate
• Working Days: Mon - Fri
• Working hours: 830 a.m. to 530p.m.
• Salary: $3,000 - $4,500 (depends on experience)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Position Overview:
We are seeking a motivated and experienced Sales Engineer to join our team. The Sales Engineer will play a critical role in driving sales and delivering technical solutions that meet our clients’ needs. This role requires a blend of technical expertise and sales acumen, as you will work closely with customers to understand their requirements, present tailored solutions, and support the sales process from inception through to implementation.

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up to date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Requirements

• Education: Bachelor’s degree in engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Experience: Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Systems Deployment Engineer

About the role
As a Systems Deployment Engineer, you will take a commercial product through installation, deployment, and proof of concepts. You will also drive innovative approaches to operating and supporting infrastructure to achieve results.

In this role, you will maintain and control access to the systems, and troubleshoot technical problems with a mix of infrastructure, software, networking, system administration, and documentation challenges. You will ensure a secure, stable and reliable operations center, while advocating for our customer and operator needs. In addition, you will also work with Operations, Program Management Office, and Engineering teams to help design, deploy, and manage enterprise solutions.
Responsibilities
● Deploy and configure air-gapped cloud solutions such as Google Distributed Cloud (GDC).
● Install, configure and manage multiple technologies including but not limited to network switches, firewalls, block storage, object storage, servers, and hardware security modules.
● Deploy and configure Operations Center (OC) IT infrastructure, including local workstations and IT equipment used to manage air-gapped cloud solutions.
● Troubleshoot and collaborate with engineering on issues that may arise with infrastructure or software while deploying an air-gapped cloud solution, collaborate within the organization and with external stakeholders to deliver complex enterprise solutions.
● Improve deployment and management processes for air-gapped cloud solutions by collaborating with external stakeholders such as engineering teams.

Minimum qualifications:
● Bachelor's degree in Computer Science or IT-related fi eld, or equivalent practical experience.
● 5 years of experience with Linux and operating systems technologies, and architecture/infrastructure in compute infrastructure, supporting, developing, maintaining cloud solutions.
● Experience designing, deploying, and managing enterprise solutions.
● Experience with managing hosted services/SaaS including familiarity with one or more of the following programming/scripting languages: Java, C, C++, .NET, Go, Python, shell, Perl, JavaScript
● Experience in managing Kubernetes extensibility through Custom Resources and Custom Controller.
● Understanding of network switching, VLAN, subnetting, IP addressing, routing and network troubleshooting.
● Singapore Government CAT 2A or higher security clearance (Singapore Citizen or Permanent Residence)

Preferred qualifications:
● Knowledge of enterprise-grade operating systems, working in Linux/Unix/WSL, Kubernetes, and network administration.
● Understanding of Virtualization in Kubernetes, Service Mesh, Public Key Infrastructure.
● Familiarity with Cisco switches, network overlay VxLAN and VRF, routing protocols.
● Experience in troubleshooting and supporting large-scale applications such as web services, data storage, databases, high-performance computing with Linux/Unix or Windows operating systems.
● Experience working in data center operations.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

Job Description:

• Review tender specifications / customers’ requirements and prepare process design.
• Obtain quotation from vendors, suppliers, and subcontractors based on the requirements.
• Interact closely with vendors to understand new technologies and effective implementation of customer applications using vendor’s information.
• Interact closely with customers on technical information and clarifications.
• Prepare cost effective costings.
• Prepare commercial & technical proposals with specifications for timely bid submissions.
• Generate / coordinate P&ID and General Arrangement drawings.
• Work with Business Development Manager to apply costing and process design strategies to increase probability of winning bids.
• Coordinate with Process / Mechanical / Electrical & Instrumentation Team for technical clarification support if required.
• Follow up with customers on submitted proposals and potential opportunities.
• Negotiate with vendors and customers if required.
• Upon award of projects, review and verify completeness of PO contract and compliance with agreed requirements.
• Communicate and nurture relationships with customers to drive more opportunities.

Requirements:

• Degree in Environmental or Chemical Engineering.
• Knowledge or previous experience in water treatment process and municipal wastewater treatment such as Filtration, UF, RO, EDI, SRU, MBBR, MBR etc.
• Knowledge and experience on pumps, motors, valves, piping, mechanical and electrical components for oil and gas industry is added advantage.
• Minimum 5 years of relevant experiences.
• Strong verbal and written communication skills in English.
• Ability to prioritize multiple tasks and work on own initiative.
• Willing to travel for site visits, sales presentation to customers and technical clarification meeting occasionally.

• Position title: Sales Engineer
• Location: Loyang Way, Loyang Industrial Estate
• Working Days: Mon - Fri
• Working hours: 830 a.m. to 530p.m.
• Salary: $3,000 - $4,500 (depends on experience)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Position Overview:
We are seeking a motivated and experienced Sales Engineer to join our team. The Sales Engineer will play a critical role in driving sales and delivering technical solutions that meet our clients’ needs. This role requires a blend of technical expertise and sales acumen, as you will work closely with customers to understand their requirements, present tailored solutions, and support the sales process from inception through to implementation.

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up to date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Requirements

• Education: Bachelor’s degree in engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Experience: Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

• Position title: Sales Engineer
• Location: Loyang Way, Loyang Industrial Estate
• Working Days: Mon - Fri
• Working hours: 830 a.m. to 530p.m.
• Salary: $3,000 - $4,500 (depends on experience)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Position Overview:
We are seeking a motivated and experienced Sales Engineer to join our team. The Sales Engineer will play a critical role in driving sales and delivering technical solutions that meet our clients’ needs. This role requires a blend of technical expertise and sales acumen, as you will work closely with customers to understand their requirements, present tailored solutions, and support the sales process from inception through to implementation.

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up to date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Requirements

• Education: Bachelor’s degree in engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Experience: Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

• Position title: Sales Engineer
• Location: Loyang Way, Loyang Industrial Estate
• Working Days: Mon - Fri
• Working hours: 830 a.m. to 530p.m.
• Salary: $3,000 - $4,500 (depends on experience)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Position Overview:
We are seeking a motivated and experienced Sales Engineer to join our team. The Sales Engineer will play a critical role in driving sales and delivering technical solutions that meet our clients’ needs. This role requires a blend of technical expertise and sales acumen, as you will work closely with customers to understand their requirements, present tailored solutions, and support the sales process from inception through to implementation.

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up to date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Requirements

• Education: Bachelor’s degree in engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Experience: Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

Responsibilities

• Organize/Support Webex Event

• High profile meeting support and monitoring

• Advance troubleshooting for application related issue

• Issue TAC and collecting of log

• Perform daily system health check

• Perform CR

• Preparation of report and material

Skills/Requirement

• Minimum ITE in IT related course or equivalent

• Minimum 1+ years of working experience

• Understanding of how Video Conference System works including the backend infra such as Cisco Call Manager.

• Understanding of Network Infra and the ability to do simple trouble shooting

Job Description & Requirements

Responsiblities :

1. At least 2 years IT Service Desk experience or,

2. At least 1 year in IT Remote Support experience or,

3. At least 1 year IT Onsite/Desktop Support Experience

• Perform troubleshooting for client platform related problems
• Support Windows OS, office software, and other Desktop Related Software & Hardware Respond promptly to incident,
• investigate & provide temporary &/or permanent resolution of incidents escalated
• Liaise with support vendors for maintenance, support or issues resolution
• Monitor the agreed service level, document & maintain the configuration of the systems Involve in client platform implementation/upgrade project
• Any ad-hoc duties assigned / required.

Software Engineer

5 days, 8.30pm- 5.50pm

Salary: $3500 -$4000

Location: Bedok office & client site

Job scope:

• To provide necessary post-project application software support to the client
• Troubleshoot, debug, enhance and optimise programs
• Develop new applications

Requirements:

• Candidate must possess at least a Diploma or Degree in Engineering, Computer Science/Information Technology or equivalent.
• Knowledge in Oracle PL/SQL, Oracle Pro-C programs, Unix ANSI C, visual basic.net using Visual Studio 17, Unix scripting
• At least 1 year relevant experience in end user and operation support

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Responsibilities

• Technical Support: Provide first-level technical support to end-users via phone, email, or in-person, addressing hardware, software, and network-related issues.
• Troubleshooting: Diagnose and resolve technical issues efficiently and escalate complex problems to appropriate teams when necessary.
• System Maintenance: Install, configure, and update software applications, desktops, laptops, and peripherals.
• Documentation: Create and maintain accurate IT documentation, including processes, procedures, and support resolutions.
• Asset Management: Maintain an inventory of IT equipment and ensure accurate asset tracking.
• Vendor Collaboration: Work with vendors to procure hardware and software as needed.
• Compliance & Audits: Conduct periodic system audits and ensure IT systems meet security and compliance standards.
• Infrastructure Support: Assist with office infrastructure setup and maintenance, including firewalls, access points, printers, and workstations.
• Onboarding/Offboarding: Support employee onboarding and offboarding, including configuring accounts and providing user training on IT tools and processes.
• Ticket Management: Respond to and resolve help desk tickets promptly, ensuring minimal disruption to end-users.
• Learning & Development: Stay updated on emerging technologies and industry best practices to enhance support capabilities.

Requirements:

• Bachelor's degree in Computer Science or related field is preferred.
• Minimum of 5 years in IT support or a similar role, with hands-on expertise in end-user support.
• Strong knowledge of Windows and Mac operating systems.
  Familiarity with Microsoft Office Suite, Active Directory, and networking concepts.
  Advanced understanding of networking protocols and security practices.
  Knowledge of cloud computing platforms and services is an advantage.
• ITIL Expert, CompTIA A+, or Microsoft Certified Desktop Support Technician certifications are a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong customer service orientation and effective communication abilities.
• Ability to work independently and within a collaborative team environment.
• Proven capability to manage EUS IT projects from start to completion.
• Skilled in implementing IT security policies and best practices.
• Experience with IT service management tools and processes.
• Ability to prioritize tasks effectively and adapt to a fast-paced, dynamic work environment.

PrimeStaff Management Services Pte Ltd

Name: Jackie Ng

EA License No.: 95C5411

EA Personnel Reg. No.: R1106591

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Job Description:

We are seeking an experienced DevOps Engineer specializing in platform development to design and optimize enterprise-grade CI/CD systems. You will be responsible for building tools and platforms to streamline code submission, automated testing, building, and deployment for development teams. Ideal candidates should possess strong Python development skills and in-depth Kubernetes experience, with a passion for driving operational efficiency and scalability.

Responsibilities:

· Design and develop enterprise-grade CI/CD platforms to support code submission, automated testing, build, deployment, and release processes.

· Enable multi-environment (development, testing, production) automated deployment, including one-click rollback functionalities.

· Build easily integrable APIs and SDKs for seamless adoption by development teams.

· Build and optimize CI/CD pipelines using tools such as GitLab CI/CD, Jenkins, and ArgoCD.

· Provide dynamic scaling and resource allocation capabilities for CI/CD environments integrated with Kubernetes.

· Implement GitOps workflows to manage environments and deployments through code.

· Design and implement distributed, high-availability operational tools and services to support large-scale R&D and deployment needs.

· Optimize build and deployment processes to improve efficiency and reduce resource usage.

· Design and maintain service scheduling and deployment solutions based on Kubernetes.

· Develop Kubernetes Operators and custom controllers to automate cluster tasks (e.g., scaling, health checks).

· Provide efficient multi-tenant isolation and access control mechanisms.

· Develop Python-based automation toolchains for monitoring, alerting, and log analysis.

· Build and maintain Infrastructure as Code (IaC) solutions for automated cloud resource deployment.

· Provide support for the CI/CD platform to development teams and assist in troubleshooting deployment issues.

· Analyze and optimize platform performance to enhance user experience for development teams.

Requirements:

• Proficient in Python for developing high-performance tools and services with experience in microservices architecture.

• Familiarity with API design (e.g., RESTful, gRPC) and the ability to develop high-concurrency, highly reliable server-side applications.

• Experience with continuous integration tools (e.g., Jenkins, GitLab CI/CD) and plugin development.

• Deep understanding of Kubernetes core components and scheduling mechanisms.

• Experience in developing Kubernetes Operators or Custom Resource Definitions (CRDs).

• Familiarity with configuration management tools such as Helm and Kustomize for efficient application deployment and management.

• Knowledge of GitOps workflows and experience with tools like ArgoCD or FluxCD for automated deployments.

• Experience designing and optimizing complex CI/CD pipelines for multi-step and multi-environment processes.

• Familiarity with Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.

• Experience with monitoring tools like Prometheus, Grafana, and logging systems such as ELK or Loki.

• Experience developing operational tools using Go or other cloud-native programming languages.

• Familiarity with distributed task systems (e.g., Celery) or message queues (e.g., Kafka, RabbitMQ).

• Proven experience in designing and maintaining large-scale cloud-native platforms or DevOps systems.

Working Location: Tuas / Jurong / Changi
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm
Salary Range: $2,600 - $2,800

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Job Description:

• Review the basic process design from the proposal/sales team;
• Develop detailed design and P&IDs based on project specification;
• Prepare engineering calculations and equipment sizing;
• Review and understand project specifications to ensure company design complies with customer specifications;
• Prepare equipment datasheets (valve list, equipment list, piping schedule, instrument list, etc);
• Supervise and review complex equipment skid 3D model to ensure compliance with project specification;
• Supervise the preparation of general arrangement drawings, piping detail drawings; skid structure arrangement drawings;
• Interface with EIA (Electrical, Instrumentation & Automation) engineer in preparation of project documents;
• Send inquiries to vendors to obtain price quotations;
• Review of vendors, fabricators and sub-contractors quotations to ensure compliance with project specifications;
• Review of vendors, fabricators and sub-contractors engineering deliverables to ensure compliance with project specifications
• Participate in internal and external design reviews;
• Prepare O&M manuals;
• Support testing and commissioning

Requirements:

• Candidate must possess at least a degree in Environmental/Mechanical/Chemical Engineering;
• At least 5 to 8 years of relevant experience in industrial water/wastewater treatment;
• Experience in the O&G industry is a plus;
• Experience in the design of complex skid-based industrial water treatment systems;
• Experience working on multiple projects simultaneously;
• Knowledge of industry standards and specifications;
• Able to work in multi-cultural teams;
• Proficient in MS Office applications;
• Willing to travel