• Perform maintenance and repair on customer vehicles.
• Identify problems with vehicles using the diagnostic equipment.
• Explain automotive repairs and issues and provide great customer service.
• Plan repair procedures using charts manuals and experience.
• Test the functionality of parts and systems
• Perform basic auto care and maintenance tasks such as oil changes, fluid level checks, and tire rotation.
• Repair and replace brake pads, wheel bearings, sensors and other parts.
• Perform routine maintenance and general mechanic work on vehicles.
• Prepared to get additional certification as needed.
• Willingness to learn with hands-on training.
• Help keep repair shop clean and organized.
• Keep a professional appearance.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Carry out routine, preventive and corrective maintenance, troubleshooting and repairing of instrument, analyser and electrical equipment, e.g. control valve, transmitters, switchgear control, motors, GC, boiling point, freeze point and flash point analyser, etc.

Diploma or NITEC in a relevant Engineering discipline

• At least 3 years relevant experience in an oil refinery/petrochemical plant, preferably with EMA license
• Candidates without relevant experience may be considered for entry-level positions

You will assist pharmacists in ensuring the availability of medications and facilitate patient care through processing of medication orders which includes typing, packing and counselling. You will also be required to prepare extemporaneous syrups and to provide customer service and handle simple enquiries on Over-The-Counter medications and other available retail products.

In addition, you will be required to perform administrative duties e.g. pre-packing, cycle counts and topping up of stocks. You may also be given supervisory duties such as roster planning etc.

Requirements

• Diploma in Pharmaceutical Science from local Polytechnic, WSQ Advanced Certificate in Pharmacy Support or equivalent
• Work experience in retail/hospital/clinic will be an advantage
• Able to work on weekends and public holidays (PHs)

Shift Pattern: 2-2-3 (8am-8pm / 8pm-8am)
Contract Duration: 12 months (with a 1.5-month bonus)
Transport Pickup Locations: Jurong East, Boon Lay, CCK, Woodlands, Tampines, Sengkang, Bishan, Paya Lebar, Yishun

Additional Benefits:

• 12 days annual leave
• $400 outpatient claims (Pro-rated based on contract duration)
• Transport allowance / With shift allowances

Job Responsibilities:

• Perform manual tasks such as lifting, carrying, shifting, and transferring materials/chemicals.
• Engage in production activities, including receiving, staging, material movement, dispensing, sampling, filter inspection, material charging, offloading, drum packing, milling operations, and housekeeping, according to SOP.
• Ensure effective communication and proper handover of shift duties.

Apply now by sending your resume to [email protected], or call 9040 9394 for more enquiries.

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

Ashley Loo | R2095115 | EA License Number: 99C4599

Recruit Express Pte Ltd Company Reg. No. 199601303W

Responsibilities

• Follows the currently valid guidelines (e.g. working instructions, process descriptions, hygiene rules, environmental protection guidelines, cGMP, clear table policies)
• Independent execution of different process steps and surveillance of process execution according to written working instructions, according to the training level of the employee
• Notifies the supervisor of any observed discrepancies (process and quality discrepancies, security breaches, outdated calibration data, deviations in the documentation)
• Maintains a correct and conform documentation (e.g. when completing move tickets or inspection protocols)
• Highlights any issues immediately to the supervisor or the HR department
• Participates actively in the KAIZEN process (e.g. minimize waste)
• Contributes to a positive working culture
• If needed, performs individual tasks defined by the supervisor which in their nature belong to the work responsibility of an operator and/or are a necessity to achieve organizational performance
• Maintain a safe work environment and ensure the maintenance and upkeep of the physical location.
• Assist in any other functional duties as assigned

Requirements

• Proficient in Microsoft Office

Interested applicants please email your resume to [email protected]

Megan Ng Su Ting

CEI Registration No.: R23115059

Recruit Express Pte Ltd

EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

• Basic Up to $2400 (depends on experience)
• Allowances: Transport $80 + Attendance $40
• Perm role - 14 days A/L+ AWS+ Bonus+ Medical & Dental benefits
• Mon – Fri / 8.15am - 5pm
• Location: Tuas (with transport at Lakeside MRT)
• **Training provided for no experience

Responsibilities:

• Conduct inspection and lab testing on chemical samples
• Documentation of testing records
• Resolve non-conformance and defects issues

Requirements:

• Min. Nitec/ Diploma in Chemistry related field
• 0-2 years experience

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

Teo Hui Yee R22105757

Description:

• Responsible for the timely completion and data vertification of all testing of raw material, intermediates, in process control samples and final product
• Maintain up to date, complete and precise records of all tests performed
• Ensure that all test equipment is used and maintained properly in GMP environment
• Act as an SME for simple to complex instruments and techniques where needed
• Understands, implements and maintains cGMP and 6S concept
• Effectively perform a multitude of Laboratory techniques
• Trains new analysts
• Responsible for ownership of Lab investigations

Requirements:

• Min Degree in chemistry / chemical engineering /science discipline
• Min 2-3 years of HPLC / GC experience
• Able to commit 12 hours rotating shift (Day and Night shift)

Salary range: Up to $4K

Fixed allowance: Up to $850

+ Variable shift allowance

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

• Fix equipment and carry out maintenance works at customers' premises
• Liaise with the customers and sub-contractors to facilitate the maintenance

Requirements:

• Nitec in Electronic or Electrical Engineering
• 2 years of hands-on experience in carrying out off-site trouble shooting of any electrical and electronics system.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

• Responsible for setting up, maintaining, and troubleshooting automated testing systems used to evaluate the performance of electronic devices.
• Involves programming test sequences and analyzing test results to ensure product reliability and compliance with specifications.
• Focuses on testing entire systems or subsystems to verify that all components work together as intended.
• Involves using various testing methods to assess functionality, performance, and interoperability.
• Specializes in stress testing electronic components by operating them at elevated temperatures and voltages to accelerate aging and identify potential failures.
• Responsible for setting up and monitoring HTOL test conditions, collecting data, and analyzing results to improve product reliability.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

• Provide routine, preventive and corrective maintenance, troubleshooting and overhaul on process equipment such as piping, pressure vessel, pump, compressor, etc.

• Diploma or NITEC in a relevant Engineering discipline
• At least 3 years' relevant experience in an oil refinery/petrochemical plant
• Candidates without relevant experience may be considered for entry-level positions.

• Maintenance and Repairs: Perform routine maintenance and repairs on building systems, including ACMV , plumbing, electrical, and general infrastructure.
• Inspections: Conduct regular inspections to ensure building systems are functioning efficiently and safely.
• Troubleshooting: Identify and resolve mechanical and electrical issues.
• Coordination: Work with contractors and vendors for specialized maintenance tasks.
• Record Keeping: Maintain logs of maintenance activities, repairs, and inspections.
• Customer Service: Respond to tenant or management requests for building-related issues.

Automotive Engineering Technician

1) Singapore class 3 driving license and able to safely operate any light commercial vehicle.

2) Prior knowledge of and able to perform automotive maintenance practices safely, accurately and independently (preferably certified, Nitec or equivalent).

3) Be ready to cover the full duties of any technician at our customers’ workshop sites, including our mobile service, when required.

whatsapp : +65 9837 1821

Job Description:

• Handle Vehicle Diagnostic Tools & Update e-Repairs Documents ,
• Repair or Replace Parts , Oil & Fluid Levels , Wheel Bearings , Car Aircon Compressor Charging , Vehicles.Engine Repair.
• Report to Workshop Maintenance Controller or Team Leaders

Requirements

• Candidates Should Possess A Local Diploma / ITE In Automotive Technology or Mechanical Engineering
• 3-5 Years Experience In the Similar Field With Vehicle Distributors
• Requires A Valid Class 3 / 3A Driving License
• Mondays to Fridays : 0830 to 1730 Hours

- No Quota for WORK-PERMITS ***

Responsibilities

• Perform calibrations and adjustments to meet required standards.
• Set up instrumentation and equipment as needed.
• Conduct fault finding and repairs on equipment.
• Interpret and execute calibration requests from both internal and external customers.
• Provide technical support and product information to internal and external customers.
• Communicate promptly with laboratory management regarding potential or actual issues that require action.
• Liaise with customers to address inquiries and deliver support effectively.

Requirements

• O Level / NITEC in electronics, electrical, mechatronics or mechanical engineering
• Previous experience in service, repair and calibrate a wide range of torque measuring equipment
• Candidates with no experience are welcome to apply.

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

EA (18C9514/R23118479)

My client is looking for qualified candidates with specialised and deep technical skills acquired through extensive industry experience. Pending experience, the candidate can apply for an Assistant/Manager, Senior or a Lead Professional Officer role.

The successful candidates will be part of their pool of academic staff under the Professional Officers (PO) scheme. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in the institution, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum.

Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the work study programme. Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry.

In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in the institution. With Technical Officers, laboratory safety professionals, and administrators in department, they jointly develop central policies and processes for the safe and seamless operation of laboratories in the institution.

Responsibilities

• Design and teach labs & practice modules.
• Mentor students in Capstone Projects and the work study programme.
• Lead or co-lead innovation projects with industry.
• Manage labs and equipment to support academic programmes and applied research.

Requirements

• A good degree in Electrical/Electronic Engineering or Computing from a recognized University. Major in Information Security or possessing a Master degree will be advantageous.
• Proven working experience as Certified Security Analyst or relevant experience, with good knowledge of industry practices and technological applications in the field.
• Have a firm grasp of cyber security domain, as well as proficient with a range of information security tools and techniques.
• Keen interests to support research and academic project work, with demonstrated competencies to manage and employ new security technologies.
• Possess strong supervisory skills and enjoy working closely with students in an educational environment.
• Self-starter with hand-on knowledge to implement security policies and establish layered defense for network and server systems as well as ability to perform penetration and vulnerability testing of the networks, operating systems, software applications and mobile devices.
• Demonstrate proficiency to stay up-to-date on the latest intelligence, including hackers’ methodologies and pursue professional certification programs. Industrial certifications in relevant areas will be an added advantage

Interested candidates are invited to submit their MS Word formatted CV with the current and expected salary remunerations.

• JonDavidson Pte Ltd • EA Lic-22S1412 • MOM Reg No-R1440770 •

Our client is specialized in the production and distribution of disposable medical devices.

• Perform technical support for daily manufacturing operation.
• Ensure all equipment are well maintained.
• Assists in machine and equipment improvement and upgrade.

Requirements:

• Nitec in Engineering or equivalent
• At least 3 years of troubleshooting equipment failure and handling technical issues experience in cGMP manufacturing environment.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Job Scope

• Supports team task to enable adequate resources to support laboratory infrastructure (eg, equipment, method, system) needs
• Participates in the management of laboratory equipment and IT systems in QC laboratory to ensure business continuity and system data maintenance, equipment maintenance/calibration is in a state of compliance
• Participlates in method technology transfer and laboratory equipment technological refresh/introduction activities into QC laboratory within project timeline
• Participates in QC Laboratory long range planning to ensure laboratory infreastructure needs in secured and Date integrity plan is in place to support business and laboratory complaince
• Author or Review (if assigned) method transfer/qualification and equipment qualification documentation (eg, reports, protocol, change control, related quality documents of procedures) are in cGMP compliance to corporate/site or regulatory requirements
• Supports and ensure timely escalation/handling of lab events or related quality actions (eg, NCR, Lab Investigation, CAPA)
• Acts as QC SME/Supports preparation and participate in internal/external audit, audit responses, to enable a successful audit outcome
• Participate in EHS, Business Compliance, cGMP and all other compliance-related matters, where applicable
• Lead supports CI initiatives to enable laboratory performance metrics
• Carry out any other task as assigned by Supervisor'

Requirement

• Min Dip/Degree in related discipline

Working Hours

Monday - Friday: 8am - 5pm

Interested applicants, please email your updated CV to [email protected] or WA 97527630 for more information.

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

EA Personnel No: R23116144

EA Personnel Name: Lim Ruo Yi, Rachel

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Our client is a Biotech MNC HQ in the US. They are looking for a Temp Lab Cleaning Officer to assist their team for the next phase of their business. They are located in the West - easily accessible.

Responsibilities:

• Perform general cleaning tasks in lab, including vacuuming, mopping, and washing of laboratory equipment such as plates.
• Maintain cleanliness in two labs, one of which is a clean room environment requiring adherence to specific protocols.

Requirements:

• Prior experience in lab cleaning, especially in a clean room environment (e.g., familiarity with gowning requirements), is preferred.
• Ability to communicate in basic English and proficiency in basic computer skills.
• Flexible working hours, with a preference for morning shifts (9:00 AM to 1:00 PM)

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. R23117211 (Hew Lee Dea)

Job Responsibilities:

• Provide administrative, technical and operational support for the lab
• Review activities involves high risk agents
• Work closely with other bio staff for the implementation of programs and services
• Maintain the budgetary and operational capabilities of the lab to ensure that the facility remains in full compliance

Job Requirements:

• Degree in Life science or any related field
• At least 2 years of working experience
• Experience in high containment facility

Interested candidates who wish to apply for the advertised position, please click on “Apply Now”. Alternatively, you may email us an updated copy of your resume (Attn: HUEY) for a confidential discussion.

Job Code: HUEY

EA Reg No: R24122358 (YEO HUEY CHEEN)

EA License: 01C4394 (PERSOLKELLY SINGAPORE Pte Ltd)

We regret that only shortlisted candidates will be notified.

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 https://www.persolkelly.com.sg/policies. I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

• Assist of BIM manager for Tender document creation, coordination with different trades and team work.
• Assist BIM manager for IDD implementation.
• Responsible for the preparation of project drafting plan and deliverables with project engineer
• Familiar with BIM execution plan, requirements, process and workflow.
• Manage the drafting resources to meet the project timelines
• Develop drafting standard and procedures
• Develop team performance through capability development and specific/constructive feedback

Qualifications

• Bachelors’ degree in Architecture, Engineering or Construction Technology, with minimum 5 years of relevant professional experience.
• Industry BIM Certification (Revit Professional, BCA BIM courses) is preferred.
• Proficient with BIM, REVIT, AutoCAD, Naviswork, Microstation, etc.
• Excellent written & spoken communication skills in English.

• Carry out repair, maintenance and troubleshooting of machinery onboard vessels in shipyard
• Liaise with Fleet Operations team on breakdown reports and vessel status
• Troubleshoot and carry out thorough rectification of deficiencies in machinery and control system
• Ability to perform wiring and termination of electrical cables
• Install electrical and electronic accessories and components
• Assisting Engineer any related job delegated

＜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.

• Carry out repair, maintenance and troubleshooting of machinery onboard vessels in shipyard
• Liaise with Fleet Operations team on breakdown reports and vessel status
• Troubleshoot and carry out thorough rectification of deficiencies in machinery and control system
• Ability to perform wiring and termination of electrical cables
• Install electrical and electronic accessories and components
• Assisting Engineer any related job delegated

• Install and configure electronics and communications equipment, ensuring proper setup and integration with existing systems. (CCTV, Card Access, Trunk Radio,UPS)
• Conduct routine maintenance and perform repairs on various electronics and communications devices to ensure optimal functioning.
• Diagnose and resolve technical issues related to electronics and communications equipment, minimizing downtime and disruptions.
• Assist in the implementation of system upgrades and enhancements, ensuring compatibility and improved performance.
• Maintain detailed records of installations, repairs, and maintenance activities, including schematics and technical manuals.
• Provide technical support to users, addressing their queries and assisting them in operating electronics and communications equipment effectively.
• Test and calibrate electronics components and systems to ensure they meet specifications and operational standards.
• Manage inventory of spare parts and tools, ensuring availability of necessary components for maintenance and repairs.
• Ensure all work complies with safety regulations and standards, maintaining a safe working environment.
• Liaise with vendors for the procurement of electronics and communications equipment, parts, and services, ensuring timely delivery and quality standards.

Job Requirements:

• Nitec or Higher Nitec in any technical qualifications
• Able to work outdoors and at heights

Wong Li Qi (Jolin)

R2096313

＜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.