• 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

Industry: Manufacturing

Located at Ubi

Japanese MNC

Have AWS + Bonus + Yearly increment

Mon to Fri 8.30am to 5pm

Basic $2400-$2800+fix allowances $500 or $1200 (own car)

Training provided

Job Description

• To support, troubleshoot and maintain automation machine in Field / Site.
• To setup and debug automation machine in factory.
• To support commissioning and decommissioning on automation machine.
• To provide training to customer for automation machine at site.
• To assemble Mechanical modules, reference from CAD model.
• To troubleshoot errors in design on First Article machine.

Requirements

• Diploma in any Engineering
• No experience / fresh entry welcome to apply

Applications:

Please submit a copy of your updated CV in MS Word format stating to [email protected]:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

Go URL Link: https://go.persolkelly.com/job/apply/6758

Duration: 1 Year (Renewable)

Role: Senior / Desktop Engineer
Location: SIT Campus attached to Punggol Site from May 2024
Work Hours: Mon - Fri, 8.00am to 5.30pm or 9.00 to 6.30pm

Salary: Up to $4k + 1 month bonus upon completion

Main Duties and Responsibilities:

- Situated on site at customer’s premise to provide IT support for end users
- Provide technical support for all end users devices such as laptops, desktops, mobile devices printers, and approved software
- Provide IT support for events if required
- Facilitate and provide technical / event support for the classroom, Lab, meeting room and other areas that have Audio Visual System.
- To oversee the day-to-day teaching facility operations, which include loan of portable devices, accessory and supplying of consumable items such as battery for wireless mic.
- To attend, assist, response and resolve user requests on problem and operation of Audio-Visual system.
- Operate videoconferencing / teleconferencing equipment for executive presentations and meetings.
- Act as a liaison with Level 2 AV Team for troubleshooting / fault rectifications.
- Responsible for any audio / visual-related duty, including scheduling, end-user coordination and training, troubleshooting, repairing and installing AV equipment.

Job Requirements: (e.g., educational/ professional qualifications)

- At least a Higher NITEC or Diploma in IT / Audio Visual related disciplines or equivalent;
- At least 1 - 2 years of relevant IT support experience

Possess IT knowledge and skills in, but not limited to:
- Windows OS and Hardware
- Apple Mac OS and Hardware
- Apple iOS and Hardware
- Android OS and Hardware
- Linux OS
- Office productivity tools such as Microsoft Office, MS Project, MS Visio, etc.
- Software installation and basic usage

Must have relevant technical IT expertise and skills.
- Must be able to communicate (verbal and written) clearly and converse in good conversational English.
- Must have good telephony skills.
- Must be good at problem solving.
- Must have good customer service attitude and skills.
- Must project a professional image when on duty.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://go.persolkelly.com/job/apply/6758

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394

• Reg. R24124631 (Moh Cheng' En, Desean)

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an Information Security Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Handle post-sales activities of related products and solutions.
• Engage in the implementation of large-scale projects.
• Offer on-site services, including deployment, testing and preparation of documentation.
• Provide technical assistance to maintain high levels of customer satisfaction.
• Troubleshoot customer inquiries by leveraging existing knowledgebase resources and resolving known issues.
• Be available for standby support to manage 24/7 maintenance calls.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 2 years’ IT support experience.
• Certified CCNA or CCSA is a bonus.

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.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

• Basic up to $4,200, depending on experience
• No experience also welcomed to apply, with minimum qualifications required
• Annual Increment + Performance Bonus
• Disciplines in either M&E or Building Services

Responsibilities:

• Lead project phases, ensuring adherence to resource, quality, and risk standards, while managing project profitability.
• Coordinate administrative aspects of projects, including reporting, claims, and invoice processing, up to final handover documentation.
• Identify and address project issues, proposing quality, risk, and administrative process improvements.
• Foster effective communication and negotiation, liaising between internal and external stakeholders to ensure project cohesion.
• Manage subcontractor integration, ensuring compliance with technical requirements.
• Interpret project drawings, identify discrepancies across trades, and develop resolutions.
• Oversee project planning, scheduling, and execution of alteration and addition (A&A) works to ensure on-time completion.
• Regularly update management and clients on project progress, maintaining transparency and accountability.

Requirements:

• A Diploma or Bachelor's Degree in Mechanical/Electrical Engineering or Civil/Construction/Building Services Engineering, with a strong understanding of electrical installations or relevant field.
• Minimum 5 years of experience in a related field, with at least 3 years in facilities/building maintenance.
• Proven leadership ability, with the skills to manage and motivate a team effectively.
• Excellent organizational and multitasking skills, capable of managing multiple projects concurrently.
• Class 3 driving license is advantageous.
• Demonstrated commitment, positivity, and the drive to work independently and deliver excellence.

Tyson Jay Recruitment Pte Ltd | EA License No.: 16C7954

Tay Shiong Luan | EA Personnel No.: R23115166

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

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

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

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

Job Responsibilties:

• Plan and design mechanical engineering works for building services.
• Prepare reports, specifications, calculations, drawings and other documents prepared for the different stages of a project.
• Conduct design presentations, review shop drawings and material/equipment submissions, handle RFIs and other contract administration duties.
• Oversee the installation, testing and commissioning of Mechanical engineering works.

Job Requirements:

• Degree in Mechanical Engineering from a University recognized by the Professional Engineers Board, Singapore.
• Minimum 3-5 years of relevant experience in mechanical engineering design.
• Good working experience in a consulting firm with proven track records in major development projects.
• Knowledge of mechanical engineering design systems software.
• Knowledge of AutoCAD and/or Autodesk Revit is advantageous.
• Conversant with local codes and regulations, and authority submission procedures.
• A team player, able to work both independently and as a group, ensuring excellent project delivery to Clients and other stakeholders.

Job Descriptions:

* Development & Implementation of IoT Application, Robotic, Building Automation, Industrial Automation, Process Control Application.

* Implementation of IoT, Robotics, Automation, Instrumentation and Control, Testing and Commissioning, Technical Support, Customer Service, PLC Programming, SCADA / HMI programming, Computer and Server, Industrial Networking

* Responsible for design & development, implementation, onsite testing & commissioning, support, documentation and training

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Relevant graduate degree for Engineering (Electrical, Mechanical, Computing, or Mechatronic)

* Min 1-2 yrs experience in good engineering practice, process automation, robotic, service and maintenance. Fresh graduates are welcome.

* Hands on experience in IoT implementation

* Knowledge of Building Automation & Process Control

* Experience in IoT, BMS / PLC / HMI process control / automation system, onsite commissioning

* Good technical skills in embeded programming, Allen-Bradley / Siemens PLC programming, SCADA

* Strong problem-solving and analytical skills

* Hardware configuration and software coding

* IT knowledge for Server/Client and Infrastructure

* Electrical, instrumentations and control knowledge

* Customer orientated

* Analytical thinking

* Good communication skills for both written and spoken

* Ability to work well with others in a team environment, providing input and feedback in a helpful manner.

* Able to interact well with vendors.

* Strong team player with excellent interpersonal and communication skills, ability to work independently, Pro-active and able to work in a fast paced environment and handle multiple tasks when required.

* Willing to travel to overseas on short notice and work after office hour, weekend and public holiday.

Interested applicant please send resume with expected remuneration to [email protected]

We regret that only shortlisted candidates will be notified.