Job Description

• Industry/ Organization Type: Refrigeration and Air-Conditioning System Provider
• Position Title: Engineer (Sales & Project in HVAC Equipment and Refrigeration system)
• Working Location: East – Ubi (Walking distance from Ubi MRT to the company)
• Working Hours: 5 days (Monday to Friday 8.30 am-5.30 pm)
• Salary Package: Up to SGD 5000 + AWS + Performance Bonus + Commission
• Duration: Permanent

Key Responsibilities

Project

• Design, plan, and manage the testing, commissioning, and supervision of HVAC & Refrigeration projects in accordance with project plans, specifications, and contracts.
• Develop and maintain design documentation, submittals, and re-estimation reports. Ensure thorough project documentation and provide regular updates to management on project status.
• Perform site surveys to determine the placement of pipes, ducts, and control panels, attend site meetings, and ensure adherence to safety regulations while monitoring construction progress.
• Collaborate with consultants, contractors, suppliers, and governing bodies to ensure seamless project execution.
• Execute testing, commissioning, and quality assessments to guarantee the functionality, dependability, and safety of HVAC systems. Troubleshoot, repair, and maintain system components.
• Support clients in enhancing energy efficiency, troubleshooting issues, and offering post-installation assistance.
• Create 2D engineering and electrical diagrams using specialized software.
• Control material and labour expenses to align with budget constraints.

Sales

• Analyze market trends, observe competitor activity, and identify emerging market segments and potential customer profiles.
• Engage with customers, follow up on leads, and nurture client relationships to drive acquisition and retention.
• Formulate and implement sales strategies, negotiate agreements, and provide technical support both before and after sales.
• Compile comprehensive sales reports and work collaboratively with internal teams to ensure seamless delivery of services and customer satisfaction.
• Advocate for the adoption of innovative technologies and participate in ongoing improvement initiatives.

APPLY NOW!!!

• Min. Diploma in Engineering.
• Min 2 years of working experience in sales, servicing or project management for HVAC.
• Strong understanding of mechanical or electrical systems and technologies, with the ability to communicate technical concepts effectively to non-technical audiences.
• Willing to travel overseas as needed for onsite client meetings, presentations, industry events as 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 #69657 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

JOB RESPONSBILITIES:

• Provide technical support for manufacturing operations
• Conduct process validation
• Perform maintenance, troubleshooting and calibration on Machines / Equipment
• Liaise with supplier on all technical purchases
• Co-ordinate with supervisor / leader on production schedule / audit / stock take etc.
• Any other tasks assigned by superior by time to time.

JOB REQUIREMENTS:

• Diploma in Electrical / Mechanical Engineering or related discipline (Must if they do not have relevant work experience)
• Rotating Shiftwork (Day & Night) - Monthly Rotation
• Work in cleanroom environment - Required to wear cleanroom uniform

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Our client is a well-established MNC, market leader in the Water Treatment industry. They are looking for a QC Coordinator Engineer assist their Engineering team for the next phrase of their business. They are located in South – easily accessible.

Responsibilities:

• Conduct quality control audits.
• Organize pre-inspection meetings with clients.
• Create Project Inspection and Testing Plans.
• Draft Project Inspection and Testing Procedures.
• Address client feedback on QC documents.
• Coordinate and schedule QC activities, including inspection notices and factory acceptance tests.
• Manage coordination and scheduling of QC procedures, reports, and documents.

Requirements:

• Minimum of Bachelor Degree in Engineering or Quality Management
• Minimum of 5 years experience in Quality Control function.
• Experience in the Oil and Gas or offshore and marine industry
• Proficiency in metal welding inspection and piping system testing and inspection

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R21101676 (Ng Zhi Qing Alethea)

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Monitor, evaluate and solve potential Wi-Fi network performance issues.
• Manage basic infrastructure-related and other network requests and problems.
• Support customers via email, telephone and face to face interactions and meeting.
• Monitor and ensure that all fault tickets are resolved timely, and meet performance SLA.
• Document the resolution of incidents and problems.
• Manage and observe system, network, application and service alerts
• Support and operation tier 1 and tier 2 escalation
• Create monthly reports and provide updates to customer once completed

To Apply:

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. <https://go.persolkelly.com/job/apply/7194>

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

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R22110511 | Teh Chee Hoong

ABOUT SEMBCORP INDUSTRIES

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

For more information, please visit www.sembcorp.com.

KEY ROLES AND RESPONSIBILITIES

• Plan and schedule corrective and preventive maintenance works. Include liaising with operations, prioritize jobs, mobilize work force, spares and allocate resources.
• Lead technicians in implementing in preventive and corrective maintenance
• Trouble shoot critical or major plant issues, participate in Root Cause Analysis (RCA) studies, plant improvement initiative, and drive cost management.
• Implement management initiatives to optimize the assets and seek to continuously improve on the methods, procedures and update with the latest developments in the market by adopting a suitable approach like proactive initiatives viz predictive and preventive maintenance activities and default actions like failure finding, redesign and run to failure.
• Plan and review the budget for the Cost Centers assigned to them
• Upkeep risk registers, take part in safety walkdowns, implement safety initiatives, and ensure that good safety practices are practiced by all stakeholders in the maintenance work.
• Develop and establish maintenance procedures, risk assessment and method statements for all maintenance activities to ensure safe execution
• Ensure that maintenance works, and plant equipment comply with Statutory Requirements.
• Assist in maintenance related projects to improve workflow and maintenance processes
• Successful candidate can be appointed as part of the Company Emergency Response Team (CERT) (training will be provided)
• Other ad-hoc duties as assigned

QUALIFICATIONS & EXPERIENCE

• Degree in Mechanical engineering
• Minimum 3 to 5 years’ experience in a Power Plant environment or oil & gas industry.

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical centre of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Unique Opportunity

This is a unique opportunity to work on converging multiple legacy systems and execute on the Ledgers strategy to move a single Unified Data source and provide ledgers as a service across the firm. Our current technology drives processing across the firm, and we have started a multi-year convergence program to deliver a single, highly scalable platform for providing core ledgers services, to enable business growth with reduced operational costs.

We’re looking for highly technical, commercially minded, software engineer who enjoy seeing things done differently to join us on this exciting journey.

About the team

Ledgers Engineering is a part of a growing team in Singapore that collaborates with colleagues around the world to deliver our new strategic post trade portfolio platform and build the next generation platform.

We are a fully data centric function that is responsible for managing the Books and Records for the firm. All client activities and position management are taken care by our highly scalable systems that deal with about 100 million transactions daily. The data we produce is distributed to numerous consumers for performing various business functions.

Our strategic new platform is a brand new/greenfield initiative to converge all of our businesses onto a single technology platform, to proving much better scalability, improved resiliency and reducing the time needed to develop and deliver new features. The programme is sponsored by our division’s senior leadership and is one of the key strategic deliveries of the next few years.

All our projects are cross-location and cross-function. We work directly with Front office, Mid-office, Operations, Legal, Tax, Client Reporting and Regulatory Reporting and Engineering colleagues directly and that gives the opportunity to learn about the financial markets and asset classes.

The team is also responsible for generating the client statements, interest calculations and anomaly detection from daily activity across all Goldman Sachs. We use leading edge technologies for the data management and distribution such as Apache Iceberg and Snowflake. The anomaly detection platform uses bigdata technologies for detecting and reporting trade anomalies from the significant volume of data.

The applications and functions are going through complete technology transformation now with vision of resiliency, future sustainability and scalability to manage ever-increasing data volumes and be part of this journey of evolution for the next generation data centric platforms.

Highly-developed analytical and technical skills, combined with a commercial and collaborative approach to problem solving, are essential to our success.

RESPONSIBILITIES AND QUALIFICATIONS

Key Responsibilities

· Develop, test, and maintain Java-based applications, ensuring high performance and responsiveness.

· Collaborate with business analysts and other developers to define software requirements and solutions.

· Design, build, and maintain efficient, reusable, and reliable code.

· Troubleshoot and debug application issues, identifying and resolving performance bottlenecks.

· Contribute to all phases of the software development lifecycle.

· Write clean, test-driven scalable, and well-documented code.

· Participate in code reviews to maintain code quality and standards.

· Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Skills:

· Java Programming: Strong knowledge of Java, with a good understanding of OOP principles.

· Frameworks: Experience with Java frameworks, such as Spring Boot.

· Database Management: Proficiency in SQL and experience with databases like DB2 and Sybase.

· Version Control: Experience with version control tools, such as Git.

· APIs: Knowledge of RESTful APIs and web services.

· Testing: Familiarity with unit testing frameworks, such as JUnit.

· Agile Methodology: Experience working in Agile/Scrum environments.

· Strong analytical and problem-solving skills.

· Excellent verbal and written communication skills.

Preferred Skills:

· Knowledge of microservices architecture.

· Knowledge of bigdata technologies like Hadoop and Spark

· Experience in event streaming technologies like Kafka.

· Familiarity with cloud platforms like AWS or GCP.

· Experience with DevOps practices, including CI/CD.

· Exposure to NoSQL databases, such as MongoDB or ElasticSearch.

· Knowledge of front-end frameworks like Angular or React.

Qualifications:

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· Proven work experience in Java development (1+ years or more)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Metric Materials Analysis Pte. Ltd. is a young and dynamic company offering materials analysis and certification services to our customers.

We are seeking an experienced, entrepreneurial and meticulous individual to join us. He or she has to have good organisational and communication skills to perform well in this role.

Job Description

The successful candidate will be working in an air-conditioned, industrial laboratory environment.

Responsibilities include:

1. Maintain operation of laboratory as per ISO 17025.

2. Assist with SAC accreditation.

3. Oversee day to day operations such as carrying out and scheduling test, issue test reports, schedule calibration and maintenance of machines, etc.

4. Implement testing techniques and standard operating procedures in the laboratory.

5. Review and maintain lab risk assessment.

6. Plan testing capacities based on internal and external requirements, ensuring efficient lab operations.

Pre-requisites:

1. Candidates should possess at least a diploma/degree in Applied Science Engineering, Material Science, Civil Engineering, Mechanical Engineering or related fields.

2. Minimum 3 years of experience in lab (rebar & steel testing). Those with experience in other tests will have an advantage.

3. Singaporeans or PR only.

Renumeration & Benefits:

1. Salary range from $3,500 to $4,000

2. 9:00am to 6:00pm

3. 5-day work week

4. Annual bonus & incentives.

Kindly include last drawn salary and character referee(s).

We regret that only shortlisted candidates will be notified.

Main Duties:

• Oversee the construction activities and progress, plan, implement and monitor work
• Schedule in accordance to the master and detailed work program
• Liaise with Professional Engineer on the Temporary works
• Liaise with consultants (QPS) for technical issues and coordinate the site activities with subcontractors
• Handle of technical and engineering problems
• Provide guidance to supervisors in relation to construction works, ensure progress according to schedule,
• Maintain quality standards, carry out site inspections and resolve technical issues on time
• Prepare report and method statement whenever necessary
• Manage and control workers and monitor their work closely to keep site safer and neat
• Supervise ongoing site activities closely

Requirements:

• Degree in Civil Engineering or equivalent
• Minimum 1 year relevant experience
• Able to commit to 6D week and long working hours to meet tight project deadlines

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Job Responsibilities

• Inspect the hotel's rooms, common areas, and back-of-house spaces regularly.
• Perform preventive maintenance on HVAC, plumbing, electrical systems, lighting, and mechanical equipment.
• Handle minor repairs like fixing doors, replacing light bulbs, and repairing furniture.
• Respond quickly to guest complaints about maintenance issues (e.g., broken fixtures or malfunctioning equipment).
• Ensure all guest room amenities, such as air conditioning, lighting, and appliances, are working properly.
• Carry out basic electrical repairs like rewiring outlets, replacing light fixtures, and fixing power issues.
• Repair plumbing problems, including leaks, clogged drains, and faulty water systems.
• Check fire alarms, sprinklers, and emergency lighting regularly for safety.
• Maintain proper chemical levels in the swimming pool and spa.
• Create and follow a preventive maintenance schedule for hotel equipment and infrastructure.
• Work with outside contractors for specialized services (e.g., elevator maintenance, pest control).
• Monitor and evaluate contractors' work to ensure it meets hotel standards.
• Track energy usage and suggest ways to improve efficiency, such as using energy-saving equipment.
• Provide regular maintenance updates to hotel management.

Job Requirements

• Skilled in HVAC, electrical, plumbing, and general maintenance.
• Strong troubleshooting, problem-solving, and communication skills.
• Detail-oriented with a focus on safety.
• Physically fit for rotating and overnight shifts.

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Purpose of the role:

• Ensure customer satisfaction in service provisioning (transmission, routers, switches) and quality of service.
• Manage all monitoring aspects of network deployments.
• Coordinate all post-sales matters triggered by both internal and external customers.
• Drive continuous improvement in services offered.
• Supervise and oversee engineering operations and functionality.
• Conduct POC testing for network equipment.
• Develop strategies and manage risks for network operations.

Major Responsibilities:

• Plan, project manage, and implement network engineering projects.
• Install and configure DWDM, switches, routers, and firewalls within core and access networks.
• Proactively monitor core production network infrastructure and support systems to ensure continuous service delivery and optimal network performance.
• Propose operational improvements to management involving workflow optimization.
• Create and maintain detailed engineering documentation for proper operations.
• Ensure operational processes and procedures are ITSM compliant.
• Ensure smooth internal workflows and proper escalation procedures.
• Manage the lifecycle of existing network equipment, including capacity planning, network improvement, preventive maintenance, migration, and decommissioning.
• Follow change request processes to ensure high customer service uptime.
• Draft and prepare Incident and Outage Reports in a timely manner.
• Submit all reports, such as Monthly Reports, RFOs, and Incident Reports, promptly.
• Provide full support to NOC & engineers and ensure engineering meets all deliverables and SLA targets.
• Manage IP addresses (IPv4 & IPv6).
• Support Product & Sales workgroups on all new network planning.

Competency/ Technical Skills Required

• Bachelor’s Degree (Computer Science, Information Systems) or equivalent applicable experience required.
• Minimum 5 years working experience in related field
• Strong analytical; skills and has a flair for dealing with technical and operational problems.
• Good interpersonal skills and fluent in communication.
• Strong analytical and troubleshooting skills.
• Enthusiasm and drive to creatively evolve the network using unconventional methods.
• Possess experience in ISP environment will be an advantage.
• Demonstrated ability to work independently, as well as within teams required.
• Ability to work off working hour whenever necessary.
• Formal IT qualification Cisco Certified Network Associate (CCNA) is a must. Candidate with CCNP/CCDP is highly preferred

Job Description

1. Deploys Engineering decision-making to troubleshoot and resolve mechanical equipment breakdowns

2. Identify and address potential issues before they escalate to prevent unplanned downtime.

3. Achieving 0 LTIF target through ensuring safety procedures are followed through SOP, TRA, employees wearing full PPE during work, developing safety procedures

4. To support the section in terms of external resources/vendor management

5. To drive safety, cost, energy and reliability improvement projects in MSP through application of Mechanical integrity and quality assurance

6. Recommend and implement modifications or upgrades to enhance machinery reliability.

7. Maintain accurate records of maintenance activities, including repairs, replacements, and inspections.

8. Perform root cause analysis and work towards resolutions

9. Oversee all required engineering qualification tests on project; ensure compliance with all outside parties involved

10. Participate in test runs and field installations

11. Analysing and interpreting data

12. Stay updated on industry trends, new technologies, and best practices in mechanical maintenance.

13. Provide training to maintenance technicians and operators on equipment usage and maintenance procedures

Job Requirements

1. Proven experience of supervising and managing mechanical site activities for large scale manufacturing project from inception to completion.

2. Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating equipment.

3. Possess strong leadership.

4. Possess strong orientation towards results.

5. Possess good teamwork capabilities

6. Possess good project and time management.

7. Ability to work to an ethical code of conduct

Essential Functions (Responsibilities):

- Develop and grow key accounts in the Oil & Gas sector, Pharmaceutical and other industrial sectors contribute company growth objectives in Singapore.

- Provide technical sales support and consultation to clients for the sale of electrical products in order to develop business opportunities and penetrate clients.

- Perform all aspects of selling to maintain and develop new or existing customers including: take-offs, project quotations, closing orders, preparation of submittals and resolving customer problems.

- Meet or exceed budgeted sales and gross margin targets with assigned accounts.

- Focus on identifying specific technical requirements of customers while simultaneously collecting commercial and competitive information associated with each account

- Cultivate effective long-term relationships at all levels of the customer organization.

- Attain expert knowledge of products, electrical goods market and competition.

Qualifications/Requirements:

- Formal Electrical Engineering qualification (Diploma/Certification)

- Strong technical and commercial background.

- Minimum 1 to 2 years of proven sales experience to industrial customers

- Electrical product knowledge

- Very strong consultative selling, interpersonal, and negotiation skills

- Resourceful and results-oriented.

-Highly motivated, self-confident, self-starting work ethic with good networking abilities

- Team player who works well in global teams

- Good command of spoken/written English

- Have own car

** Package up to 55K a year **

Qualifications:

• Bachelor's degree in Civil Engineering.
• Minimum of 1 year of experience in the renovation industry.

Job Description: We seek a dedicated Junior Engineer with a solid background in renovation projects. The successful candidate will be key in managing and executing renovation projects, ensuring that all aspects are delivered to the highest standards. Key responsibilities will include:

• Managing and coordinating renovation projects involving electrical, plumbing, tiling, ceiling work, and other related tasks.
• Collaborating with architects and interior designers to develop and refine renovation plans.
• Supervising on-site activities to ensure that all work adheres to the project plan, safety standards, and regulatory requirements.
• Preparing and managing project schedules, ensuring that timelines are met without compromising quality.
• Conducting site inspections to monitor progress and address any issues promptly.
• Ensuring that all materials and workmanship meet the specified quality standards.
• Liaising with clients, subcontractors, and suppliers to ensure smooth project execution and effective communication.
• Preparing reports and documentation for project handovers, ensuring all aspects of the project are completed to client satisfaction.
• Staying updated with the latest trends, techniques, and materials in the renovation industry to bring innovative solutions to projects.

Requirements:

• Proficiency in design software and tools (e.g., AutoCAD, SketchUp).
• Strong understanding of renovation processes, building codes, and industry standards.
• Hands-on experience in managing multiple renovation projects simultaneously.
• Excellent organizational, communication, and problem-solving skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

Ricardo is a fast-expanding automotive group and an established name with over 40 years’ experience in the automotive industry. The group's businesses include vehicle hire purchase financing operations (Ricardo Cars Pte Ltd), workshop operations (Ricardo Auto Centre Pte Ltd), insurance services (Ricardo Insurance Agency Pte Ltd) and property financing solutions for SMEs in Singapore (Ricardo Financial Services Pte Ltd).

We are looking for a highly motivated Automotive Engineer to join our workshop team. Interested applicants, please email your CV to [email protected].

Job Description:

• Lead a team of automotive technicians
• Carry out maintenance servicing and repair of motor vehicles
• Conduct diagnostic checks, troubleshooting, automatic transmission and engine overhaul
• Perform quality checks and road tests on vehicles
• Liaise with Service Advisor on the service/repairs-related matters
• Provide support to customer service and workshop
• Maintain facilities and equipment of the workshop
• Any other or ad-hoc assignments by the Workshop Manager

Job Requirements:

• Relevant certificates in Automotive Engineering or its equivalent
• Minimum 8 years of relevant working experience in automotive industry
• Knowledge of mechanical, electrical and electronic components of vehicles
• Working knowledge of vehicle diagnostic systems and methods
• Class 3 driving licence
• 5.5 day work week: Mon-Fri 9am to 6pm, Sat 9am to 2pm

Remuneration & Benefits:

• Basic salary from $4,000 to $5,500
• 14 days paid annual leave
• Up to S$280 medical claims per year

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Our Client:

• Cranes Lifting Industry
• 5 Days, Office Hours
• West Region
• Up to $4500 + $1000 Monthly Transport Allowance

Responsibilities:

• Meet project timelines and comply with Workplace Safety and Health regulations.
• Coordinate with different departments to ensure efficient project management.
• Document meeting minutes to prevent disputes over delays.
• Build and maintain strong relationships with site parties to make sure smooth project execution.
• Monitor project cash flow and ensure progressive payment claims are timely submitted.
• Check and approve Workplace Safety and Health documents to ensure safe work practices.

Requirements:

• Diploma in Mechanical Engineering or similar relevant qualification.
• 2 years of relevant experience in Industrial Products project management preferred.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

What the role is

The Waste Infrastructure and Engineering Division (WIED) oversees the planning, engineering design and development of all NEA waste management infrastructure. ​ ​ ​ ​

What you will be working on

The officer will play an active role in the planning, development and management of future solid waste management facilities such as Waste-to-Energy plant and food waste treatment plant that will contribute towards the targets set forth under the SG Greenplan 2030. The work scope and responsibilities include the following:

• Develop the various waste management facilities, obtain planning approval and funding support
• Plan and implement project schedules to ensure timely project execution
• Administer the procurement process to select and appoint project consultants and contractors, including preparation of tender documents
• Manage consultants in carrying out feasibility/prelim design/detailed design studies
• Supervise consultants/contractors and carry out site inspections to ensure that the waste management facilities are developed in a timely and cost-effective manner, in compliance with the tender requirements
• Manage funding and budget planning cycles for projects
• Work and liaise with various internal and external stakeholders of projects

What we are looking for

• Degree in Civil, Electrical, Mechanical, Chemical or Environmental Engineering is preferred. Applicants with degree in other engineering fields with work experience in a related field may also be considered.
• At least 2-3 years of relevant working experience in engineering will be highly preferred.
• Knowledge in solid waste management systems, project management and review of building plans and engineering drawings would be advantageous
• A good team player with strong interpersonal skills
• Mature, independent, resourceful and highly self-motivated
• Adaptable to diverse work scopes
• Good written and spoken communication skills
• Strong analytical and problem-solving skills
• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

To apply, please proceed to https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-HQ-ENVIRONMENT-BUILDING/Dy-Principal-Senior-Executive-Engineer--Infra-Plng-and-Design-Dept-2-_JR-10000034410

The Role:

In this position, you will provide first-level on-site support for end-user operations within the organization. You’ll be responsible for understanding and managing complex technical issues in a fast-paced business environment. Your key tasks will include maintaining, managing, administering, and operating VMware vSphere and VMware Horizon VDI environments and applications. You will perform daily administrative tasks such as maintenance, upgrades, patches, hotfixes, and security configurations for these environments. Monitoring, alerting, and fine-tuning the VDI environments will also be crucial.

Additionally, you will assess risks associated with virtual machines and VDI applications, conducting contingency planning as needed. Troubleshooting VMware workloads and assisting in the evaluation and recommendation of related hardware, software, and services will be part of your responsibilities. Staying current with developments in virtual machine technologies and providing on-call, 24/7 support on a rotating basis is essential. You will implement corrective measures to resolve production issues and minimize unplanned outages. Creating and maintaining technical documentation will ensure efficient planning and execution, while you will also coordinate with external parties for problem resolution and support special projects as required. Furthermore, you may lead the post-delivery team to manage inventory and maintenance reporting.

Ideal Candidate:

The ideal candidate will possess a strong technical inclination and hands-on experience. Experience supporting enterprise virtualized environments on desktops, operating systems, client applications, and mobile devices will be advantageous. Proficiency in operating systems, particularly Windows Clients/Servers and various Linux distributions (such as Red Hat, CentOS, and Ubuntu), is essential. Familiarity with backup and recovery applications will further enhance your suitability for this role.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Responsibilities:

• Design systems and select equipment, electrical, instrumentation, and controls.
• Review customer specifications and drawings to ensure requirements are met.
• Define work scope and specifications for contractors.
• Oversee plant startup, testing, commissioning, and troubleshooting activities.
• Lead all aspects of electrical engineering, including the design of electrical power distribution systems, switchboards, MCCs, and control systems.
• Responsible for creating Single Line Diagrams and Control Schematic drawings.
• Enhance engineering capabilities and collaborate with the sales team on project proposals and bids.
• Review customer specifications and drawings for accuracy and compliance.
• Execute projects and perform loop checks.
• Prepare and manage tender activities.

Requirements:

• Possess Diploma/Degree
• Minimum 3 years of experience
• Experience in FEED of LV/MV switchboards, MCC, MCB, Control Panels etc and in Water & Waste Water industries

Kindly email your resume in a comprehensive Word format to [email protected]

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

Please be informed that by applying for the advertised position, the candidate is considered to have given their consent for us to collect, utilize, or disclose their personal information for the purposes related to the services we provide.

Jacqueline Goh

EA License Number: 22C1430

Registration Number: R1326664