Job Description

• Industry/ Organization Type: Engineering
• Position Title: Machine Servicing Technician
• Working Location: Singapore Islandwide (Travel Required)
• Working Hours: 6 Days, Mon - Sat (9am – 6pm)
• Salary Package: Basic Salary + Allowance + OT + AWS
• Duration: Permanent

Key Responsibilities

• Visit various machine sites across Singapore to conduct servicing.
• Perform regular maintenance and troubleshooting to ensure optimal machine functionality.
• Notify the supervisor of any significant malfunctions or necessary repairs.
• Maintain service documentation and inform the operations team with updates.
• Ensure proper use and upkeep of tools and equipment.
• Other ad hoc tasks as assigned.

APPLY NOW!!!

• Basic technical knowledge and skills.
• Prior experience in machine maintenance or a related area is preferred.
• Possess own motorbike with a valid license.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71821 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 | Rachael Lee | EA Reg No.: R2093131

Position title : Maintenance Engineer

Location: Tuas
Working Days: 5 days (Mon-Fri)
Working hours : 7:30am to 5:15pm
Salary Range: $3k - 4k

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

Job description

* As a HR generalist assisting in all HR and admin matters.

* Manage and record employees annual/sick leave.

* MOM work pass related matters including work pass application, renewal and cancellation and update for foreign worker's particulars.

* Update and maintain employee's date in hr system in accordance with company policies and MOM guidelines.

* Assist in staff on-boarding and off-boarding process and report regularly to the management.

* Handle employees enquires on all HR-related matters.

* Assist commercial work.

Requirements:

* Minimum Diploma in any discipline.

* Being able to speak Mandarin and English would be an added advantage.

* Good time management and prioritization capabilities, with the ability to multi-task and work with minimum supervisor and manager.

* Possess good communication and interpersonal skills.

Position title : Hotel Maintenance

Location: Bugis

Working days : 6 days ; 8 hours/day

Salary : $2500- $3000 (depend on experience)

Responsibilities & Duties :

• Perform general maintenance and repairs on plumbing, electrical.
• Ensure guest rooms are well-maintained, including fixing plumbing, electrical, and furniture issues.
• Conduct regular inspections of hotel facilities to identify potential maintenance problems.
• Respond to emergency repair needs (e.g., burst pipes, electrical outages, power trip, water heater malfunction,promptly.
• Maintain the hotel’s exterior, including landscaping, parking lots, and outdoor lighting.
• Ensure all safety and security systems, including fire alarms, extinguishers, and emergency lights, are functioning.
• Work closely with housekeeping and management to address and resolve maintenance issues.
• Ensure compliance with safety, health, and environmental regulations.
• Maintain an inventory of maintenance supplies and tools.

Requirements:

• Proven experience in hotel or building maintenance .
• Ability to troubleshoot and solve problems quickly.
• Basic knowledge of safety and fire regulations.

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

✅SAMUEL SIAW Reg No: R24124745

Our client, a global leader in real estate and workplace management solutions, is seeking a skilled Data Center Operations Technician to support the daily operations of their data centers and critical facilities.

This role involves troubleshooting, coordinating vendor/contractor activities, and ensuring seamless operation and maintenance of infrastructure systems. If you are successful in this role, you will enjoy the following:
- Competitive salary and benefits package
- Opportunity to work in a renowned real estate firm globally
- Collaborative and dynamic work environment
- Professional development and growth opportunities


Key Responsibilities:
- Lead and manage contractors/vendors in daily data center operations.
- Monitor and inspect infrastructure systems, facilities, and environmental controls.
- Handle system alerts, incident management, and escalations for downtime.
- Oversee service desk operations and ensure adherence to safety practices.
- Liaise with stakeholders on utilities, building services, and system issues.
- Assist in disaster recovery planning and execution.
- Maintain and update records, permits, and asset databases as per CMMS requirements.
- Review operations periodically, report gaps, and prepare monthly updates.Key Requirements:
- Diploma in Computer Science or a related field.
- Relevant certifications such as Certified Data Centre Professional.
- At least 3 years of experience in data center operations, facilities monitoring, and management.
- Knowledge of data center facilities, including CRAC, fire suppression systems, water detection systems, and UPS.
- Familiarity with service desk operations and incident management processes.
- Basic understanding of MEP (Mechanical, Electrical, Plumbing) systems.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

Summary:

• Preventive Maintenance, semiconductor, cleanroom, jumpsuit
• Basic salary up to $2600
• OT fees
• Attendance allowances $200/month (No lateness and able to commit to all scheduled roster shift)
• Night shift allowances
• Guaranteed AWS
• Performance bonus
• Increment after probation (subject to performance)
• Completion bonus (1 year)
• Location: Kranji
• Work week: 4/3/4/3 (12 hours shift)

Key Responsibilities:

• Perform robot Preventive Maintenance: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc
• Installation of vacuum valves, fore line pipes, heater jackets
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation
• Support 6S & logistic activities (parts cleaning, arrangement, labelling, housekeeping)
• Other related ad hoc duties

Key Requirements:

• Min Nitec in engineering
• No experience welcome to apply!

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Job Description

• Manage and maintain day-to-day operations of residential property
• Ensure effective and efficient management of the common areas through routine checks
• Assist the team to support daily operations
• Conduct on-site checks and management of development works by appointed contractors to ensure works are carried out to specifications and completed on schedule
• Engage service providers through a proper approval system; manage contracts and performance of service providers
• Follow up with service providers on submission of monthly maintenance schedule, quotations, claims and invoicing
• Convene and attend all meetings of the Developer and/or with the Council of the Management Corporation Strata Title (MCST)
• Prepare minutes and reports for meetings
• Obtain quotations for repair and maintenance services
• Attend to residents’ feedback professionally to ensure timely and prompt responses
• Prepare and submit an annual budget and recommend rates of Maintenance Fund / Sinking Fund contributions
• Ensure compliance with BMSMA, relevant laws, government rules and regulations and the company’s policies
• Process and assist in putting up paper for extraordinary works when necessary
• Review all facilities with an aesthetic eye for detail;
• Be well-organized and able to be hands-on to trouble-shoot and fix issues related air conditioning (Daiken VRV), plumbing, humidity related issues, all M&E issues, service provider management, and optimize efficiency while reducing operating costs.
• Supervises all senior technicians, technicians and craft men to ensure high quality preventive, corrective and guest demand maintenance services are provided
• Supervises all Team Leaders, Senior Technicians and Technicians to ensure high quality preventive, corrective and guest demand maintenance services are provided.
• Reports any faults and renders assistance as and when required by department head / hotel management and takes on any responsibilities and tasks as assigned by supervisor and hotel management
• Conducts walk through and visually assesses the safe and efficient maintenance and operation of the physical aspects of the hotel, including guest rooms, public areas, all mechanical, electrical, H.V.A.C. systems and any other related equipment.
• Assists in developing, implement and manage emergency programs for the operation and maintenance of all equipment and physical structures in compliance with corporate standards, local, state and national codes and regulations to protect the asset, guests and associates, to ensure optimum operations, minimize expenses and maximize customer satisfaction.
• Responsible for the short and long term planning and day-to-day operations of the Engineering Department.
• "Can-do" attitude with resourcefulness and phenomenal efficiency can set you apart among our candidate pool.
• The goal is to ensure our accommodations is problem-free;
• Managing the upkeep of equipment and supplies to meet health and safety standards;
• Trouble-shoot, plan and coordinate all installations and repairs of (telecommunications, heat, electricity etc.) and refurbishments;
• Hands-on as well as manage the upkeep of buildings, equipment and supplies to meet health and safety standards;
• Inspect buildings’ structures to determine and implement the need for repairs;
• Obtain comparative quotations;
• Review utilities consumption and strive to minimize costs;
• Supervise foreign staff facilities staff (handy-men) and external contractors;
• Control activities like waste disposal, building security etc.;
• Handle insurance plans and service contracts;
• Keep financial and non-financial records;
• Maintain all trackers.
• Any other jobs requested by management.

Requirement

• Higher NITEC in Facilities Management and/or Diploma in Integrated Facility Management, Real Estate Business, Hotel & Leisure Facilities Management, or equivalent qualifications
• For Officers: At least 1 year of relevant working experience in strata-titled residential property management
• For Executives: At least 3 years of relevant working experience in strata-titled residential property management
• Team player with good communication skills
• Able to adapt to a flexible working environment
• Knowledge of Building Maintenance & Strata Management Act (BMSMA) will be an added advantage

Our client is a Manufacturing MNC. Due to business needs, they are now recruiting a Laboratory Technician to be part of their Labortory Team for ongoing transformation projects. They are located in the West - easily accessible.

Duties of Laboratory Technician:

• Assist in routine lab tasks such as paint preparation, panel setup, and airless spray applications.
• Conduct sampling, testing, and analysis for paint products.
• Support chemists in development projects, including managing stock levels for panels, raw materials, and lab supplies.
• Participate in trial applications and inspections outside the lab under supervision.
• Handle non-chemical waste disposal and maintain a safe work environment by following ISO, safety, and environmental standards.
• Communicate progress or delays effectively with the line manager.
• Ensure workplace safety, especially in handling chemicals, and follow preventive measures to reduce risks.

Requirements:

• Diploma in related field
• Entry level are welcome to apply. Training provided.

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 Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

• Plan, organize, direct and run optimum day-to-day operations of the facility.
• Be responsible for the overall maintenance and repair works of the plant equipment.
• Submission of documentation following preventive maintenance
• Minimal downtime of company’s/ client machinery and equipment
• Inspection of facility equipment
• At least 1 years or more of relevant experience in crane manufacturing industry or related
• Able to multi task & able to develop improvement plans
• Hardworking, committed & independent
• Team player & self-starting individual

Familiar with Shanghai Purlux ZXJD45025 Perfect Binder Machine.

- At least 3 years of relevant experience.

- To maintain the said machine and be responsible for quality assurance.

- Training new employees to handle and operate equipments/ machineries.

- Organised with an ability to multitask efficiently in a deadline driven environment.

- Self- motivated with good interpersonal and communication skills.

- Daily reporting on jobs related matters.

＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).

Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.

Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.

Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.

Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.

Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.

Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.

Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.

Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.

Support the definition and optimization of underlying data infrastructure

＜Job Type Option：＞

Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. ．Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. ．Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

Good knowledge of the big data technology landscape and concepts related to distributed storage/computing

Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)

Experience with batch & ETL jobs to ingest and process data from multiple data sources

Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)

Experience with querying tools (e.g Hive, Spark SQL, Impala)

Experience with Power BI

Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming

Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)

High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

You are passionate about technology and continuous learning comes naturally to you.

At least 5 years of experience in big data, AI, and cloud technologies, with hands-on experience in cloud platforms (Alibaba Cloud, AWS, Azure, GCP).

Strong technical expertise in big data frameworks (e.g., Hadoop, Spark, Flink) and data analytics.

Proven experience in pre-sales and post-sales engagements, driving customer solutions.

Excellent communication skills and the ability to engage with key stakeholders, including C-level executives.

Ability to collaborate within cross-functional teams and influence product development.

Strong problem-solving skills, innovation, and technical leadership capabilities.

Experience in delivering customized cloud solutions and managing solution implementation risks.

You need to be able to do marketing, business solicitation, socializing and entertainment, and understand the principles and architecture of automobiles.

What's on Offer

• Competitive Salary & Performance-Based Bonuses: Attractive compensation package with the opportunity to earn performance bonuses based on individual and team success.
• Comprehensive Benefits: Health insurance, retirement plans, and other employee wellness benefits.
• Training & Development: Access to continuous professional development and training programs, including certifications in cloud technologies and data-driven solutions.
• Career Growth: Opportunities for career progression within a globally recognized leader in cloud computing and AI.
• Innovative Environment: Work on cutting-edge cloud technologies and high-impact projects in big data and AI across industries such as fintech, retail, and telecom.
• Collaborative Work Culture: Be part of a dynamic, innovative team with a focus on cross-functional collaboration and technical excellence.

The Job:

• Plan and execute corrective/preventive maintenance on facility equipment and plant equipment to ensure good efficiency and availability
• Generate equipment and facilities related records/reports/ documentations on above activities
• Responsible for tracking machinery spare parts usage, maintaining adequate quantity, critical parts requirement, spare parts management, continuous improvement, and ISO audits
• Support EHSS related topics, ensure site is in full compliance with Environment, Health and Safety (EHS) and Security regulation and policy
• Resolve various equipment performance issues internally before approaching equipment vendor
• Review equipment log and technician feedback for quick solutions

The Requirements:

• Min Degree with min 3-5 Years of relevant working experience
• Degree/Diploma in Mechanical Engineering or equivalent
• Minimum 5 years of relevant working experiences
• Experience in chemical and mechanical process

Interested applicants may email resume to [email protected]

Jessie Hoe Huey Miin (CEI Registration No: R1103861)

Recruit Express Pte Ltd (EA: 99C4599)

Job Description

• Industry/ Organization Type: Manufacturing/ Production
• Position Title: Technical Officer (Service & Maintenance)
• Working Location: West (Jurong Port) – Nearest MRT: Lakeside
• Working Hours: 5.25 days, Monday to Friday (8.30 am – 5.30 pm), Every Alternate Saturday, (8.30 am – 12.30 pm)
• Salary Package: Up to $4000 + OT + Performance Bonus + AWS
• Duration: Permanent

Key Responsibilities

• Monitor, operate, and maintain cement plant machinery, including crushers, kilns, mills, and packing units, ensuring smooth and efficient production processes.
• Perform routine maintenance and troubleshooting of mechanical, electrical, and control systems to minimize downtime and ensure consistent plant operations.
• Continuously monitor equipment performance, identify potential issues, and take proactive steps to ensure optimal equipment efficiency and product quality.
• Ensure strict adherence to safety protocols, plant operating procedures, and environmental regulations. Report any incidents or hazards immediately.
• Work with process engineers and plant supervisors to optimize production processes and improve yield and energy efficiency.
• Assist in managing the inventory of spare parts, tools, and equipment to ensure readiness for any maintenance or repair jobs.
• Record, analyze, and report operational data, including machinery performance, production rates, and quality control results, to assist with performance reviews and decision-making.
• Work closely with cross-functional teams, including mechanical, electrical, and process engineers, to resolve technical issues and support plant improvements.

APPLY NOW!!!

• Min. ITE
• Min. 3 years experience in related fields (service and maintenance)

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. Kindly indicate #69905 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 | Markus Tan | EA Reg No.: R24124040

＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).

Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.

Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.

Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.

Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.

Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.

Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.

Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.

Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.

Support the definition and optimization of underlying data infrastructure

＜Job Type Option：＞

Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. ．Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. ．Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

Good knowledge of the big data technology landscape and concepts related to distributed storage/computing

Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)

Experience with batch & ETL jobs to ingest and process data from multiple data sources

Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)

Experience with querying tools (e.g Hive, Spark SQL, Impala)

Experience with Power BI

Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming

Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)

High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

You are passionate about technology and continuous learning comes naturally to you.

At least 5 years of experience in big data, AI, and cloud technologies, with hands-on experience in cloud platforms (Alibaba Cloud, AWS, Azure, GCP).

Strong technical expertise in big data frameworks (e.g., Hadoop, Spark, Flink) and data analytics.

Proven experience in pre-sales and post-sales engagements, driving customer solutions.

Excellent communication skills and the ability to engage with key stakeholders, including C-level executives.

Ability to collaborate within cross-functional teams and influence product development.

Strong problem-solving skills, innovation, and technical leadership capabilities.

Experience in delivering customized cloud solutions and managing solution implementation risks.

You need to be able to do marketing, business solicitation, socializing and entertainment, and understand the principles and architecture of automobiles.

What's on Offer

• Competitive Salary & Performance-Based Bonuses: Attractive compensation package with the opportunity to earn performance bonuses based on individual and team success.
• Comprehensive Benefits: Health insurance, retirement plans, and other employee wellness benefits.
• Training & Development: Access to continuous professional development and training programs, including certifications in cloud technologies and data-driven solutions.
• Career Growth: Opportunities for career progression within a globally recognized leader in cloud computing and AI.
• Innovative Environment: Work on cutting-edge cloud technologies and high-impact projects in big data and AI across industries such as fintech, retail, and telecom.
• Collaborative Work Culture: Be part of a dynamic, innovative team with a focus on cross-functional collaboration and technical excellence.

Reporting to the Manager in the Engineering Department, the selected incumbent shall assist the Engineering team in the following tasks:

Responsibilities

• Assist in the maintenance of mechanical or electrical installations and equipment within the compound.
• Provide engineering support to all depts if required
• Diagnose and repair faulty equipment, perform preventive maintenance to minimize equipment breakdown.
• Carry out instrumentation calibration activities.
• In charge of maintenance and troubleshooting of entire facility duties.
• Involve in TPM (Total Productive Maintenance) activities.

Requirements:

• Minimum Nitec or equivalent.
• Relevant experience in electrical installation, PLC (Programmable Logic Controller) and electrical maintenance preferred.
• Good technical knowledge with hands-on experience in troubleshooting & servicing HVAC equipment eg chillers, cooling towers, aircon, air compressors etc
• Experience in simple welding, piping work, and simple machining work.
• Computer literacy.
• Physically fit and able to work shifts.
• Positive, easy-going and a good team player.

Note:

Candidate MUST BE willing to wear jumpsuit and mask as Personal Protective Equipment while working in the production area

Interested candidates who wish to apply for the advertised position, please click APPLY NOW.

Alternatively, you may send your application and resume in MS Words format to [email protected] or Whatsapp to 8767 9648

We regret that only shortlisted candidate will be notified.

K N Tan
Registration Number: R1768143
EA Licence No: 17C8778 (JIH SUN EMPLOYMENT AGENCY)

R: N12OPFS46

- Oversee operations and cleanliness on ground

- Perform general cleaning to maintain cleanliness

- Manage customer complaints in professional manner

- Manage manpower deployment

- Conduct site inspections to ensure compliance with health and safety standards

- Prepare operations reports and other administrative duties

- Any other related duties assigned by manager

Our client is from Oil and Gas industry. They are looking for a Electrical & Control Maintenance Supervisor to assist their team for the next phase of their business. They are located in West.

Duties:

• Lead and supervise electrical technicians and contractors in system installation, maintenance, and repair.
• Develop and conduct on-the-job training programs for E&I team members.
• Perform site inspections and quality control for electrical work.
• Review and approve electrical isolation, excavation, and related permits.
• Investigate electrical maintenance issues, identify root causes, and implement solutions.
• Collaborate with other engineers to ensure equipment reliability through effective maintenance programs.

Requirements:

• Minimum Bachelors Degree in Electrical Engineering or any relevant field.
• Minimum 8 to 12 years experience in Oil and Gas Industry or any relevant industry.

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 address: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682
EA Reg. No. R22108850 (Chan Mun Mun)

• Perform quality control tests on raw materials, intermediates and finished products using state-of-the-art Lab instruments like XRF, GC-FID, ICP etc
• Prepare and standardize all necessary reagents in accordance with specified methods
• Ensure product identification, results, status and traceability is maintained within the Lab Information Management System Database (LIMS)
• Maintain and upkeep Laboratory instruments and workstation
• Any other duties & responsibilities which the supervisor may assign from time to time

Reporting to the Senior Finance Manager, you shall monitor and comply with financial reporting guidelines, prepare and review annual budget, prepare financial statements, perform budgetary controls and manage arrears. You shall be required to ensure proper records of transactions and drive strong financial controls. In addition, you are responsible for grants and assets management, inter-funds transfers, tax reporting etc.

Job Requirements

• Minimum Diploma in Accounting
• Meticulous and can work independently and as a team player
• Possesses minimum 5 years of relevant experience
• Prior experience in staff management
• Strong analytical thought process and able to handle tight timeline and stress
• Work Week: 5.25 (Alternate Saturday half day)
• Working location: West

Working Day: Mon to Fri, 8.30AM to 5.30PM

Location: Tuas

Salary: $3800 - $4800

Requirements:

• Diploma/Degree holder in Facilities Management, Building Services or related field
• Minimum 3 years of working experience in building & facilities management and is 'hands on' to ensure planning to execution success in building & facility initiatives undertaken including for clientele base

Job duties & responsibilities:

• Plan, organize, coordinate, and oversee operational processes of all Company facility areas assigned, including maintenance, safety and cleanliness
• Work within budgetary and compliance parameters to ensure upkeep of building facilities
• Ensure legal compliance where needed
• Work closely and liaise with vendors, contractors, and suppliers to implement cost-effective, simpler, and faster ways of carrying out facility upkeep, development and maintenance
• Manage and attend to all feedback and service requests in a timely manner
• Lead the technicians and manage vendor services to achieve the required professional standards in day-to-day operation
• Raise PO and certify job completion/delivery undertaken by contractors/vendors
• Manage and update online systems
• Initiate B&F activities for workers’ dormitories to ensure compliance with regulations and Company facilities' policies
• Initiate value added services to clients in renting of facilities/storage spaces etc and generate some income for the department
• Assume any other facilities-related duties assigned by the management

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

Job Description

• Industry/ Organization Type: Manufacturing/ Production
• Position Title: Electronic Repair Technician (Aviation)
• Working Location: Seletar – Nearest MRT: Khatib
• Working Hours: Monday to Friday, 8.30 am – 5.45 pm (May need to work Saturdays depending on duty)
• Salary Package: Up to $2700
• Duration: Permanent

Key Responsibilities

• Regularly inspect, test, and troubleshoot avionics systems, including radar, navigation, communication, and flight control systems, ensuring they function correctly and comply with safety standards.
• Use specialized diagnostic tools and software to identify electronic malfunctions or system failures, isolating faults to efficiently carry out repairs.
• Conduct repairs, replacements, and adjustments to aircraft electronic systems such as autopilot, radio systems, GPS, and onboard computers.
• Install new electronic equipment or upgrades, such as advanced communication systems, navigation aids, or flight control systems, ensuring they integrate properly with existing aircraft systems.
• Inspect and repair aircraft wiring, ensuring proper electrical connections and shielding to prevent system failures or electrical fires.
• Calibrate, test, and adjust avionics instruments and sensors, ensuring the accuracy of crucial systems like altimeters, airspeed indicators, and flight data recorders.
• Log all diagnostic tests, repairs, installations, and inspections accurately in the aircraft's maintenance records to ensure compliance with aviation regulations and company policies.
• Follow all relevant aviation safety regulations, including FAA, EASA, or local aviation authority guidelines, ensuring all electronic systems meet strict airworthiness and operational standards.
• Ensure that avionics systems are running the latest software versions by performing regular updates and troubleshooting new software issues that may arise.
• Monitor and maintain the integrity of the aircraft’s electrical power supply to avionics systems, ensuring uninterrupted power flow and system reliability.
• Conduct post-maintenance checks to verify that repairs have been completed properly and the aircraft is ready for flight.

APPLY NOW!!!

• Min. a Diploma in Aerospace Engineering or related
• Min. of one (1) year of relevant work experience
• Training provided for candidates with no experience
• Candidates with CAAS Aircraft Maintenance Certificate Preferred

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #70290 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 | Markus Tan | EA Reg No.: R24124040

Job

- Manage all facilities to ensure availability of essential mechanical electrical and other essential services at all times to production.

- Manage departmental financial budgeting, forecasting and ongoing expenditures

- Lead the team to plan, operate, maintain and ensure 24/7 operational readiness of essential Mechanical and Electrical (M&E), Chemical System and building services; such as chillers, power, cooling systems, Scrubbers system, DI system, Waste Water Treatment, Gas system, plumbing and sanitation, pest control, landscape and etc.

- Plan and oversee upgrading/improvement works to facilities in supporting production and offices. Oversee contract management including calling for and awarding of tenders for M&E, Chemical and building maintenance, minor works, production equipment hook-up and upgrading works.

- Ensure department operations comply with applicable outside agency rules and regulations.

- Oversee energy audit, conservation, management and implement green initiatives in driving ISO14k.

- Oversee implementation of responds plans to deal with emergency situations resulting from equipment failure, power shutdown and etc.

- Provide leadership to department, ensuring high morale, team work and ownership

- Strategic review for Facilities services to continuously add value to the processes

- Lead department to continuously improve Facilities Operational Procedures and Performance. Drive reliability and robustness of systems.

- Lead and implement facilities risk management processes to identify major risks pertaining to plant operation and activities.

- Drive and support programs such as BCP, Training, 5S, Gemba walk.

- Quality management control on all clean room environmental parameters.

- Lead the team to investigate and develop CAPA for any facilities related incident.

Requirement :

• Degree in Engineering discipline (preferably with a Degree in Mechanical or Electrical Engineering).

• Minimum 7 years in managerial position (3 years in Snr Management role).

• Excellent project management, leadership and communication skills.

• Preferable with Semiconductor, Wafer fabrication Facilities experiences.

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Please email your resume in a detailed MS Word format to [email protected] stating

Expecting Salary

Date Available

Reason to Leave each job:

We regret that only shortlisted candidates will be notified

Joyce Koh Ai Leng

People Profilers Pte Ltd

20 Cecil St, #08-09, PLUS Building, Singapore 049705

Tel: 6950 9737

www.peopleprofilers.com

EA License Number: 02C4944

EA Personnel Reg nos R1110618

Job ID: L3V49RYW

Location: Jurong Nursing Home, Lakeside
Salary: Up to $4.3k
Hours: Mon-Fri, Office

Role:
Assist the Operations Manager in daily tasks, ensuring compliance with safety and regulatory standards, while training and mentoring staff.

Responsibilities:

• Oversee facility maintenance and inspections
• Manage contractors and report issues
• Handle contracts and budget monitoring
• Ensure fire safety and compliance
• Supervise operations assistants
• Support process improvements
• Respond to emergencies after hours

Qualifications:

• Degree in Project Facilities Management related course
• No Need Experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

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

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

Location: Jurong Nursing Home, Lakeside
Salary: Up to $4.3k
Hours: Mon-Fri, Office

Role:
Assist the Operations Manager in daily tasks, ensuring compliance with safety and regulatory standards, while training and mentoring staff.

Responsibilities:

• Oversee facility maintenance and inspections
• Manage contractors and report issues
• Handle contracts and budget monitoring
• Ensure fire safety and compliance
• Supervise operations assistants
• Support process improvements
• Respond to emergencies after hours

Qualifications:

• Bachelor of Science (Honours) in Facility Management
• No Need Experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

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

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

Building & Facility Executive

• Mon-Fri 8.30AM to 5.30PM
• Tuas
• $3000 - $5000

Requirements:

• Diploma/Degree holder in Facilities Management, Building Services or related field
• Minimum 3 years of working experience in building & facilities management and is 'hands on' to ensure planning to execution success in building & facility initiatives undertaken including for clientele base

Job duties & responsibilities:

• Plan, organize, coordinate, and oversee operational processes of all Company facility areas assigned, including maintenance, safety and cleanliness
• Work within budgetary and compliance parameters to ensure upkeep of building facilities
• Ensure legal compliance where needed
• Work closely and liaise with vendors, contractors, and suppliers to implement cost-effective, simpler, and faster ways of carrying out facility upkeep, development and maintenance
• Manage and attend to all feedback and service requests in a timely manner
• Lead the technicians and manage vendor services to achieve the required professional standards in day-to-day operation
• Raise PO and certify job completion/delivery undertaken by contractors/vendors
• Manage and update online systems
• Initiate B&F activities for workers’ dormitories to ensure compliance with regulations and Company facilities' policies
• Initiate value added services to clients in renting of facilities/storage spaces etc and generate some income for the department
• Assume any other facilities-related duties assigned by the management

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

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279