Objectives of the position:

This role is for the validation of Customer technical requirements by means of inspection of In-coming goods and release lots in SAP with defined usage decisions. Testing of ISIR samples (type test) for product approval process (power, control & data cable) with compliance to company standards and verify compliance to the international cable standards e.g. EN / IEC requirements. Understanding of each testing standards and be able to communicate the requirements to respective parties including suppliers. Establish test specification to be followed by suppliers. To be able to operate all laboratory equipment in the process of cable type testing. Keep track of product approvals and Company's approved suppliers’ performance monitoring to ensure continuous product compliance to the intended specification. Corrective and preventive action process with supplier with CAR logging and follow-up for effective closure of complaints and issues related to product quality.

Knowledge in product testing and certification will be an added advantage.

Key Responsibilities:

1. Validate product quality conformance by conducting In-coming inspection and type testing for cable & accessories, include updating into SAP.

2. To be able to operate Laboratory test equipment for cable testing and accessories inspection

3. Understand international cable testing standards and inspection requirements with compliance to internal ISO procedures. Prepare test specification with detailed inspection requirement to be followed by the supplier.

4. Prepare and issue Customer test reports, certificates & COC

5. Track supplier quality by means of in-coming inspection or arise from Customer complaints. Update results in SAP system and release inspected lots according to the usage decision defined.

6. To generate supplier CAR and track for corrective action and effective closure of CARs by liaising with the supplier.

7. Liaising with relevant departments including suppliers to effectively close the CAR issued for Customer complaints or CAR’s which arise from internal findings (Z2 & Z8).

8. Maintain inspection records in SAP, determine skip lot and setup inspection requirements in SAP.

9. Assist Customer’s Technical enquiries e.g. Customer letter, RoHS, REACH & CE

10. Understand and comply with relevant ISO procedures, work instructions and corporate directives

11. Assist in other day to day activities related to QA department as assigned by superior.

12. Contribute to achieving company, department and personal KPIs through due diligence, duty of care & personal accountability for Quality assurance in all tasks.

Skills & Qualification:

▪ Min. Diploma or Degree in Engineering (Electronics / Electrical) or equivalent

▪ Min. 2 years’ experience in electrical / electronic product testing and qualification.

▪ Knowledge in ISO 9001:2015 QMS standard will be added advantage.

▪ To be able to operate lab equipment e.g. calliper, visual scope, resistance checker, High voltage tester etc.

▪ Prior experience in SAP system and knowledge of cable product testing is an added advantage

▪ Good written and communication skills

▪ Good customer handling skills and able to communicate to all levels in the organization

▪ Proficient in Microsoft Words and Excel

▪ Addresses present issues immediately and independently

▪ Possess self-confident and willing to share opinions and expertise in discussions

▪ Anticipate potential problems and takes action to avoid crisis

▪ Provide support to colleague in the Department and work as a team to achieve Department goals and targets

Mon to Fri 8.30am - 5.30pm

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality Systems

1. Supports overall maintenance of quality systems

2. Monitor and reports on the quality performance for Asia Operations such as product quality performance, supplier performance and gaps for continuous improvement to the management team

3. Maintains the Master control and ISO document control system

4. Maintains customer related documents such as Quality Agreement, PPAP

5. Part of the Global Quality Team, to design and implementation of global policies and systems

Quality Policies

6. Ensures effective implementation of all company quality policies

7. Implements ISO and other recognized standards

8. Implements and monitors statistical techniques such as R&R’s to identify opportunities for improvement.

9. Sets, communicates, and implements quality objectives in line with business goals

10. Manage supplier and customer programs (CCAR, ICAR and SCARs) to ensure that complaints are handled effectively and timely.

11. Support and work with different stakeholders on reporting, monitoring and resolution on customer complaints.

12. Support and work with Supply Chain and Operation on supplier quality issues.

Auditing

13. Leads ISO quality standards implementation as Management Representative.

14. Conducts and leads quality audits to specific quality standards.

15. Leads customer related audits

16. Conducts supplier audits

17. Conducts internal audit investigations for product quality and process issues

18. Responsible for ensuring timely resolution to audit findings

Training

19. Provides training for all employees on basic quality and statistical concepts

20. Provides training to appropriate personnel for updates and changes to quality policy

21. Attends relevant external training sessions/courses and shares learning internally

Job Requirements:

• Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

• Certificate in Quality Engineering is preferred.

• Position requires 3-6 years of quality management experience.

• Good experience into customer & supplier audit and able to conduct training

• ISO 13845 experience will be added advantage.

• Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

• Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing

• Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

• Junior with 1-2 experience in related field can also apply

• Occasionally overseas travel and weekly conference call is required for the role

• This position required to communicate closely with vendors in China.

Mon to Fri 8.30am - 5.30pm

Objectives of the position:

• The NPI / Production Process Engineer is required to collaborate with the Program Management Team

• and be involved in New Product Introduction activities and the creation of manufacturing Work

• Instructions as well as other process documents. The incumbent is also expected to improve the work

• processes actively and continuously to achieve high productivity and quality.

Key Responsibilities:

• Early involvement in NPI (New Product Introduction) activities.

• Interpret technical information (documents, drawings, and data) and analyse the manufacturing

• process elements.

• Create Bill of Materials structure.

• Create manufacturing Work Instructions and other process documents in collaboration with the

• Program Management, Production and Quality Assurance Teams.

• Carry out time studies and update the process cycle times.

• Provide timely technical support to the Production Team pertaining to manufacturing process and

• quality issues.

• Engage in DFM and Lean Line Design activities.

• Relentlessly explore, evaluate, and review new tools, equipment, processes, etc.

• Actively and continuously improve the work processes to improve work efficiency and quality.

• Work with Program Management, Production, and Quality Assurance Teams to identify potential

• process risks and make recommendations to mitigate these risks.

• Any other ad-hoc tasks as assigned by the Manager and/or Engineering Lead.

Skills & Qualification:

• Minimum Diploma in any Engineering field such as Electrical, Mechanical/Mechatronics,

• Manufacturing/Production or industrial Engineering

• Min. 3 years of manufacturing process engineering experience, preferably dealing with wire or cable

• harness. Candidates with less experience may be considered for the Asst. Engineer position

• Ability to read and interpret technical documents and drawings

• Basic manufacturing knowledge in cable harness assemblies, plastics and sheet metal preferred

• Experienced in the creation Bill of Materials structures

• Good knowledge on Solid Edge or SolidWorks preferred.

• Proficient with Microsoft Outlook, Excel, Word and PowerPoint

• Lean/Six Sigma certification is desirable

• Strong analytical ability

• Team player with good communication skills

Mon to Fri 8.30am - 5.30pm

Job Responsibilities

• Design, implement, and maintain OpenShift clusters, including configuration, provisioning, and lifecycle management.
• Troubleshoot and resolve complex technical issues related to OpenShift and its components.
• Optimize cluster performance and resource utilization.

Requirements:

• 3-5 years of hands-on experience with OpenShift.
• Excellent understanding of containerization, virtualization, and cloud technologies.
• Proficient in scripting programming (Python, Bash) and configuration management tools.
• Experience with Linux administration and networking.
• Excellent problem-solving and troubleshooting skills.
• Excellent communication and interpersonal skills.
• Red Hat certifications (e.g., RHCSA, RHCE) is a plus.

JOB SUMMARY

As a Lead DevOps Engineer, you will be responsible for leading a team of DevOps engineers to design, implement, and maintain the infrastructure, tools, and processes needed to support continuous integration, continuous delivery (CI/CD), and automated deployment of software applications. You will collaborate with cross-functional teams, including development, operations, and quality assurance, to streamline and optimise software development and delivery pipelines. Additionally, you will provide technical leadership, mentorship, and guidance to the team to drive innovation, improve efficiency, and ensure high availability and reliability of our systems.

JOB DUTIES

• Lead a team of DevOps engineers to design, implement, and maintain CI/CD pipelines for automated build, test, and deployment of applications using tools like Jenkins, GitLab CI/CD.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible to automate the provisioning and configuration of infrastructure resources.
• Configure and manage container orchestration platforms like Kubernetes, Docker Swarm, or Amazon ECS for containerized application deployment and management.
• Implement and manage monitoring, logging, and alerting solutions to ensure the health, performance, and security of infrastructure and applications using tools like Prometheus, Grafana, ELK Stack, or AWS CloudWatch.
• Develop, maintain, and organise documentation related to infrastructure, processes, and procedures in a central repository or knowledge base.
• Collaborate with development teams to optimise application performance, troubleshoot issues, and implement best practices for scalability, reliability, and security.
• Provide technical leadership and guidance to the team in designing, implementing, and maintaining DevOps processes, tools, and infrastructure
• Conduct code reviews, design reviews, and architecture reviews to ensure code quality, maintainability, and scalability.
• Manage release process of software applications and services for staging and production environments.
• Work closely with security teams to implement and enforce security policies, standards, and practices across infrastructure and applications.
• Drive automation initiatives to streamline repetitive tasks, workflows, and processes and improve efficiency.
• Participate in capacity planning, load testing, and performance optimization activities to ensure optimal performance and scalability of our systems.
• Analyse cloud infrastructure usage and spending patterns to identify opportunities for cost optimization and resource utilisation improvement.
• Implement cost-saving strategies such as rightsizing instances, leveraging reserved instances, and optimising storage solutions to reduce cloud expenses.
• Monitor and track cloud costs and usage metrics, and provide recommendations for optimising resource allocation and usage efficiency.
• Mentor and coach team members, foster a culture of continuous learning and improvement, and promote collaboration and knowledge sharing within the team.
• Stay updated with emerging technologies, industry trends, and best practices in DevOps, cloud computing, and software development.

JOB REQUIREMENTS

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience working as a DevOps Engineer or similar role in a leadership capacity, leading and mentoring a team of engineers.
• Strong understanding of DevOps principles, methodologies, and practices.
• Proficiency in scripting and programming languages such as Python or Shell.
• Hands-on experience with CI/CD tools, version control systems (e.g., Git), and build automation tools.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of containerization and orchestration technologies like Docker, Kubernetes, or ECS.
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team environment.
• Experience with incident management, post-mortem analysis, and root cause analysis (RCA) processes.
• Knowledge of infrastructure security best practices and tools for securing cloud infrastructure and applications.
• Excellent leadership, communication, and interpersonal skills, with the ability to effectively lead and collaborate with cross-functional teams.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

• A minimum 5+ years of hands on experience with industry leading network vendor.
• Have experience working in an Telco environment
• Must have customer facing experience
• Must have hands-on experience on multiple vendor equipment but not limited to Nokia -Alcatel Lucent, Arista, Cisco, Fortinet, Palo Alto.
• Solid understanding of LAN/WAN/TCP/IP/Subnetting concepts.
• Experience in Telco operator in mandatory with strong IP foundations
• Requreid expereince in Service routing (SR)
• Prepare detailed MOP (Method of Procedure) documents for planned network changes in customer platform.
• Execute MOPs on customer platform
• Carry out POCs and tests for our customer

Education Required:

Bachelor’s degree in Computer Science/Information Technology /Electrical Engineering or a related field.

Soft-Skills

Communicative, Pro-active, good spirit and sense of initiative

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• At least 3 - 4 years' work experience in designing, developing, and deploying machine learning models in real-world applications
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

The Role:

• Examine project specifications, technical clarifications, and construction drawings.
• Execute scheduling of construction activities, requisition of materials, cost management, project oversight, and documentation to guarantee adherence to regulatory standards.
• Collaborate with Structural, Architectural, and M&E personnel to address related challenges and concerns.
• Ensure the timely and efficient advancement of construction activities.
• Undertake QA/QC responsibilities in the designated area and ensure compliance with safety regulations on-site.
• Compile various reports, including progress reports and project handover documentation.
• Perform any additional tasks as assigned.

What are we looking for?

• Minimum Degree in Civil Engineering and PEB recognized degree.
• Working experience in A1/A2 building companies will be an advantage.

Next Step:

Please submit your updated resume in MS Word format by clicking the QUICK APPLY button.

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available at www.alwayshired.com.sg/privacy-policy.

Liew Jie Ru

Registration Number: R1872133

EA Licence No: 24C2293

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Position Overview

We are seeking a skilled technical professional who combines cloud-native development expertise with automation and AI integration capabilities. This role requires deep technical knowledge in serverless architectures, cloud platforms, automation tools, and conversational AI development. Working in a multinational environment with teams in Singapore, Vietnam, and Japan, strong communication skills in both English and Japanese are highly valued.

Language Requirements

● Business level English (required)

● Japanese language ability (preferred, JLPT N3 or higher)

　- Ability to read technical documentation in Japanese

- Understand requirements from Japanese stakeholders

- Participate in meetings conducted in Japanese

Key Responsibilities

Technical Implementation

● Design and implement serverless solutions across multiple cloud platforms

● Develop and deploy cloud-native automation solutions using:

- AWS Lambda functions and API Gateway

- GCP Cloud Functions

- Azure Functions and Logic Apps

● Create and maintain LLM-powered agents using:

- CoPilot Studio and Workato Genie

- Custom LLM integrations

- Advanced prompt engineering

● Implement cross-platform logging and monitoring solutions

● Execute M365 migrations and configurations

● Manage cloud infrastructure through IaC

Development & Integration

● Develop serverless functions in Python and Node.js

● Create and optimize LLM prompts for agent development

● Write and maintain Terra-form scripts for infrastructure automation

● Implement Power Platform solutions and custom connectors

● Build CI/CD pipelines using GitHub Actions

● Develop cross-platform automation workflows

● Integrate various SaaS platforms with logging systems

Technical Requirements

Core Technical Skills

● Strong programming skills:

- Python (required)

- JavaScript/Node.js

- PowerShell

● Serverless architecture expertise:

- AWS Lambda

- GCP Cloud Functions

- Azure Functions

● AI/ML knowledge:

- LLM integration patterns

- Prompt engineering

- Conversational AI development

● Cloud platform proficiency:

- AWS services (Lambda, API Gateway, CloudWatch)

- GCP services (Cloud Functions, Cloud Run)

- Azure (Functions, Logic Apps, Entra ID)

Required Certifications

● AWS Certified Developer – Associate

● Google Cloud Certified - Professional Cloud Developer

● Microsoft Certified: Azure Developer Associate (AZ-204)

● Microsoft Power Platform Developer Associate (PL-400)

● Terraform Associate Certification

Recommended Additional Certifications

● AWS Certified Solutions Architect – Associate

● Google Cloud Professional Machine Learning Engineer

● Microsoft Certified: DevOps Engineer Expert (AZ-400)

Technical Expertise Areas

Cloud & Serverless Development

● Serverless architecture design patterns

● Event-driven architecture

● API development and integration

● Infrastructure as Code (IaC)

● Cloud security best practices

AI & Automation

● LLM Integration:

- API integration with various LLM providers

- Prompt engineering and optimization

- Response handling and parsing

● Automation Development:

- Complex workflow implementation

- Custom connector development

- Cross-platform integration

Programming & DevOps

● Python development:

- FastAPI/Flask for API development

- AWS SDK (boto3)

- Google Cloud Client Libraries

● DevOps practices:

- CI/CD pipeline implementation

- Infrastructure as Code

- Monitoring and logging

- Version control (Git)

Required Experience

● Minimum 5 years of software development experience

● Strong background in Python development

● Proven experience with serverless architectures

● Experience with LLM integration and agent development

● Track record of successful cloud automation projects

Nice to Have

● Experience with container technologies (Docker, Kubernetes)

● Knowledge of additional programming languages

● Background in machine learning

● Experience with real-time processing systems

● Understanding of security best practices

Additional Skills

● Cross-cultural communication abilities

● Experience working in Japanese technical environments

● Understanding of Japanese business practices and communication styles

● Ability to bridge technical communications between global teams

Main Responsibilities:

• Design, develop, and deploy (Artificial Intelligence) AI and Generative AI models, including data preparation, feature engineering, training, evaluation, versioning, and monitoring.
• Establish and implement robust Machine Learning Operations (MLOps) architecture to automate model lifecycle processes, ensuring quality, reliability, and scalability.
• Develop REST APIs, Python-based applications, and maintain embeddings while industrializing internal Proof of Concepts (POCs).
• Work closely with business teams to translate their needs into actionable scientific questions and present analyses and recommendations clearly.
• Partner with the Cloud Centre of Excellence and infrastructure teams to ensure seamless project execution.
• Provide comprehensive documentation and handover processes to ensure smooth operational transitions.

Qualifications and Profile:

• Degree in Computer Science or any related discipline.
• At least 2-7 years in developing AI/ML technology solutions, with expertise in machine learning, deep learning, generative AI, and MLOps.
• Proficiency in AI frameworks such as TensorFlow, PyTorch, and Scikit.
• Knowledge of Generative AI and LLM technologies using Retrieval-Augmented Generation (RAG) patterns on public cloud platforms.
• Excellent programming skills in Python, .NET, or Java.
• Expertise in DevOps/MLOps/LLMOps tools like GitLab CI/CD, Kubernetes, AWS Cloud, AWS Bedrock, and AWS Sagemaker.
• Skilled in cleaning, preprocessing, and transforming datasets for model training.
• Awareness of ethical principles in Generative AI and embeddings.
• Effective communication and collaborative team skills.
• Curiosity and eagerness to learn and innovate.

Interested Applicants, please email your resume to [email protected] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.

Responsibilities

• Work closely with our customers and services support teams to troubleshoot and analyze production problems as well as providing effective preventive solutions.
• Inspect and maintain our monitoring metrics; identify hidden issues and work with backend engineers to resolve them accordingly.
• Daily operation tasks includes service release, setting of monitoring metrics, etc.
• Analyse production problems and optimize the service to improve its availability.
• Own and improve the scalability and reliability of our services products.
• Advocate for DevOps and SRE culture and best practices in cross-functional teams.

Requirements:

• Recent master’s degree graduates in computing related majors
• Prior cloud SRE experiences with a strong understanding on administering hyperscale datacenters and public cloud, content distribution networks (CDNs) and load balancers would be required.
• Strong interest in developing a technical operations career in cloud services.
• Outstanding presentation and communication skills (both written and spoken) in both English and Chinese Mandarin to manage internal and external stakeholders and technical documents for various regions.
• Possesses strong sensibility for technology
• Ability to solve customer-related problems in a positive manner
• Knowledge of Cloud, CDN , SaaS industry and internet space

Objectives of the position:

The NPI / Production Process Engineer is required to collaborate with the Program Management Team

and be involved in New Product Introduction activities and the creation of manufacturing Work

Instructions as well as other process documents. The incumbent is also expected to improve the work

processes actively and continuously to achieve high productivity and quality.

Key Responsibilities:

 Early involvement in NPI (New Product Introduction) activities.

 Interpret technical information (documents, drawings, and data) and analyse the manufacturing

process elements.

 Create Bill of Materials structure.

 Create manufacturing Work Instructions and other process documents in collaboration with the

Program Management, Production and Quality Assurance Teams.

 Carry out time studies and update the process cycle times.

 Provide timely technical support to the Production Team pertaining to manufacturing process and

quality issues.

 Engage in DFM and Lean Line Design activities.

 Relentlessly explore, evaluate, and review new tools, equipment, processes, etc.

 Actively and continuously improve the work processes to improve work efficiency and quality.

 Work with Program Management, Production, and Quality Assurance Teams to identify potential

process risks and make recommendations to mitigate these risks.

 Any other ad-hoc tasks as assigned by the Manager and/or Engineering Lead.

Skills & Qualification:

 Minimum Diploma in any Engineering field such as Electrical, Mechanical/Mechatronics,

Manufacturing/Production or industrial Engineering

 Min. 3 years of manufacturing process engineering experience, preferably dealing with wire or cable

harness. Candidates with less experience may be considered for the Asst. Engineer position

 Ability to read and interpret technical documents and drawings

 Basic manufacturing knowledge in cable harness assemblies, plastics and sheet metal preferred

 Experienced in the creation Bill of Materials structures

 Good knowledge on Solid Edge or SolidWorks preferred.

 Proficient with Microsoft Outlook, Excel, Word and PowerPoint

 Lean/Six Sigma certification is desirable

 Strong analytical ability

 Team player with good communication skills

Mon to Fri 8.30am - 5.30pm

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality Systems

1. Supports overall maintenance of quality systems

2. Monitor and reports on the quality performance for Asia Operations such as product quality performance, supplier performance and gaps for continuous improvement to the management team

3. Maintains the Master control and ISO document control system

4. Maintains customer related documents such as Quality Agreement, PPAP

5. Part of the Global Quality Team, to design and implementation of global policies and systems

Quality Policies

6. Ensures effective implementation of all company quality policies

7. Implements ISO and other recognized standards

8. Implements and monitors statistical techniques such as R&R’s to identify opportunities for improvement.

9. Sets, communicates, and implements quality objectives in line with business goals

10. Manage supplier and customer programs (CCAR, ICAR and SCARs) to ensure that complaints are handled effectively and timely.

11. Support and work with different stakeholders on reporting, monitoring and resolution on customer complaints.

12. Support and work with Supply Chain and Operation on supplier quality issues.

Auditing

13. Leads ISO quality standards implementation as Management Representative.

14. Conducts and leads quality audits to specific quality standards.

15. Leads customer related audits

16. Conducts supplier audits

17. Conducts internal audit investigations for product quality and process issues

18. Responsible for ensuring timely resolution to audit findings

Training

19. Provides training for all employees on basic quality and statistical concepts

20. Provides training to appropriate personnel for updates and changes to quality policy

21. Attends relevant external training sessions/courses and shares learning internally

Job Requirements:

• Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

• Certificate in Quality Engineering is preferred.

• Position requires 3-6 years of quality management experience.

• Good experience into customer & supplier audit and able to conduct training

• ISO 13845 experience will be added advantage.

• Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

• Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing

• Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

• Junior with 1-2 experience in related field can also apply

• Occasionally overseas travel and weekly conference call is required for the role

• This position required to communicate closely with vendors in China.

Mon to Fri 8.30am - 5.30pm

We are looking for a Data Center Engineer to manage and maintain our data center infrastructure, ensuring high availability, performance, and security of critical systems. The ideal candidate will have hands-on experience with hardware, virtualization, networking, and cloud technologies.

Key Responsibilities:

• Install, configure, and maintain servers, storage, and network equipment.
• Monitor systems for performance and resolve issues promptly.
• Manage virtualization environments (VMware, Hyper-V).
• Ensure data backup, disaster recovery, and security protocols are in place.
• Perform capacity planning and scale infrastructure as needed.
• Work with internal teams and vendors to support data center projects.

Qualifications & Skills:

• 3-5 years of experience in data center operations or infrastructure engineering.
• Proficient in server hardware, storage systems, and virtualization (VMware, Hyper-V).
• Strong networking knowledge (TCP/IP, VLANs, switches, firewalls).
• Experience with cloud platforms (AWS, Azure) is a plus.
• Solid troubleshooting, security, and compliance skills.

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified

Please email a copy of your detailed resume to [email protected] for immediate processing.

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality Systems

1. Supports overall maintenance of quality systems

2. Monitor and reports on the quality performance for Asia Operations such as product quality performance, supplier performance and gaps for continuous improvement to the management team

3. Maintains the Master control and ISO document control system

4. Maintains customer related documents such as Quality Agreement, PPAP

5. Part of the Global Quality Team, to design and implementation of global policies and systems

Quality Policies

6. Ensures effective implementation of all company quality policies

7. Implements ISO and other recognized standards

8. Implements and monitors statistical techniques such as R&R’s to identify opportunities for improvement.

9. Sets, communicates, and implements quality objectives in line with business goals

10. Manage supplier and customer programs (CCAR, ICAR and SCARs) to ensure that complaints are handled effectively and timely.

11. Support and work with different stakeholders on reporting, monitoring and resolution on customer complaints.

12. Support and work with Supply Chain and Operation on supplier quality issues.

Auditing

13. Leads ISO quality standards implementation as Management Representative.

14. Conducts and leads quality audits to specific quality standards.

15. Leads customer related audits

16. Conducts supplier audits

17. Conducts internal audit investigations for product quality and process issues

18. Responsible for ensuring timely resolution to audit findings

Training

19. Provides training for all employees on basic quality and statistical concepts

20. Provides training to appropriate personnel for updates and changes to quality policy

21. Attends relevant external training sessions/courses and shares learning internally

Job Requirements:

• Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

• Certificate in Quality Engineering is preferred.

• Position requires 3-6 years of quality management experience.

• Good experience into customer & supplier audit and able to conduct training

• ISO 13845 experience will be added advantage.

• Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

• Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing

• Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

• Junior with 1-2 experience in related field can also apply

• Occasionally overseas travel and weekly conference call is required for the role

• This position required to communicate closely with vendors in China.

Mon to Fri 8.30am - 5.30pm

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• At least 4 - 5 years' work experience in designing, developing, and deploying machine learning models in real-world applications
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Job description:

• Managing project and dealing with labour, materials, & equipment
• Lowering wastage of material/equipment/ resources
• Liaise with subcontractors and performing project management to ensure that project progresses according to schedule and to take the appropriate corrective action when deviations arise.
• Coordinating with all related stakeholders to ensure project delivered on time
• Handling administration of contract, claims, disputes, variation and final accounts.
• Project planning & material requisition
• Project engineer experience
• Diploma/degree in engineering related course

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

AlwaysHired Pte Ltd

Reg No: R1441412

EA: 24C2293

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available at www.alwayshired.com.sg/privacy-policy.

We are looking for Harbour craft ship crew for LNG VESSEL (GRT 16K)

- Who has quarlification to operate this vessel size

- Who has experience with LNG vessel

- Who has experince with Singapore Harbour Craft

- Who has communication skill with multi nationality and ship owner

Stay onboard for few month and manage vessel movement in Port.

Job description:

• Managing project and dealing with labour, materials, & equipment
• Lowering wastage of material/equipment/ resources
• Liaise with subcontractors and performing project management to ensure that project progresses according to schedule and to take the appropriate corrective action when deviations arise.
• Coordinating with all related stakeholders to ensure project delivered on time
• Handling administration of contract, claims, disputes, variation and final accounts.
• Project planning & material requisition
• Project engineer experience
• Diploma/degree in engineering related course

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

AlwaysHired Pte Ltd

Reg No: R1441412

EA: 24C2293

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available at www.alwayshired.com.sg/privacy-policy.

Sales Engineer, APAC (Pre-Sales)

About GMO GlobalSign

GlobalSign is the leading provider of trusted identity and security solutions enabling businesses, large enterprises, cloud service providers and IoT innovators around the world to secure online communications, manage millions of verified digital identities and automate authentication and encryption. Its high-scale PKI and identity and access management (IAM) solutions support the billions of services, devices, people and things comprising the Internet of Everything (IoE). The company has offices in the Americas, Europe and Asia. For more information, visit https://www.globalsign.com/en/company.

Summary of the role

GlobalSign is seeking a Sales Engineer for its Sales/Solutions Engineering team. This position is the primary technical resource for the GlobalSign APAC sales force. The individual will play a critical role in establishing credibility and confidence with GlobalSign’s customers, by demonstrating and proving GlobalSign’s value through its products and services. The ideal person for this role should be a true team player that has strong interpersonal skills and is very comfortable with a collaborative approach to problem solving. We are looking for a professional with a “solutions mind-set”, a great sense of humour, and a passion for managing the technology evaluation stage of the sales process. Working collaboratively with GlobalSign's APAC sales team you will serve as the key technical adviser and advocate for our products. Successful candidates must be able to articulate technology and product positioning to both business and technical users to assure complete customer satisfaction and relationships through all stages of the sales process for assigned accounts.

• Position Reports To: Sales & Marketing Vice President (APAC)

• Location: Singapore

• Travel Requirements: Up to 25%

• Hybrid office-home arrangement

Job responsibilities and accountabilities

Primary Responsibilities

•Responsible for development and delivery of product demonstrations

•Presenting the product to customers and at external events such as conferences, seminars, etc.

•Able to convey customer requirements to Product Management teams

•Assist sales with building business cases for new opportunities

•Develop a strong working relationship with the customer’s technical staff and be able to gain their trust and credibility through his/her deep technical know-how and subject matter expertise

•Work closely with customer to align the technical requirements and the solution design with their business drivers

•Able to assist in responding to technical elements of RFP/Q/I and technical architecture solutions

•Support customer integration/testing to GlobalSign Application Programming Interfaces (API)

•Support and Run Pilots and POCs to drive/test specific use-cases internally as well as in front of customers

•Document technical process flows and help discover existing PKI flows

•Test complex technical/PKI concepts to add value to GlobalSign’s existing portfolio

•Work with the Professional Services team to assist in initial production set up of solutions for customers

•Assist/ Participate in developing content / demos for webinars, presentations, tradeshows

•Travel as required

Secondary Responsibilities (Optional):

•Creating ‘Solution’ guides

•Support GlobalSign product development in terms of writing product requirements documents, working with development team, testing product/ product features/ integrations and support user guides.

•Third party integration support – testing and documenting results

Person specification

Qualifications, skills, knowledge & experience

• Bachelor’s degree in computer science or comparable due to experience or be in possession of Cybersecurity and IT Certifications (i.e. Comptia, (ISC)2, GIAC, etc.)
• Customer focus mindset with general interest in technology
• Good experience with Information Technology space
• Working knowledge on Public Key Infrastructure (PKI) concepts. Preferably hands-on experience on some PKI products.
• Good understanding of information security related products/services and/or the demonstrated ability to quickly learn/assimilate GlobalSign solutions.
• Basic understanding Windows environment especially Active Directory, Windows Servers/Desktops, Command Prompt, Virtual Machine set-up, etc.
• Basic Understanding of knowledge of networking topology, TCP/IP protocol, network configuration and components (firewalls, routers, etc.)
• Comfortable in the dynamic atmosphere of a technical organization and with frequent onboarding of new customers and partners
• Strong presentation as well as communication skills and being able to communicate professionally in written responses through emails, RFPs, and reports.
• Organized and analytical with a strong ability to find solutions for technical obstacles in the sales process through creative and adaptive approaches.
• Must respect deadlines and quality deliverables (SOW, responses to RFP etc.). Proven time management skills in a dynamic sales environment a must
• Strong communication and writing skills: Mandarin Language Required
• Any other South-East Asian Languages is a plus point

What we offer

We offer a competitive salary and benefits package including bonus and incentives, group hospitalization insurance, group medical health insurance, group dental insurance cover and much more.

Equal opportunities, diversity, and inclusion

We are an equal opportunities employer supporting diversity and inclusion with a zero-tolerance approach towards bullying and harassment.

Background checks

Due to the trusted nature of our business, we are required to complete background checks which includes an employment reference checks and on qualifications.

Application process and deadline

If you meet the criteria listed above, found the nature of our business fascinating,, then please apply for the role by sending us a cover letter along with your current CV/resume.

Program Engineer (Manufacturing)

The Role:

• Lead and direct cross-functional team in program execution
• Ensure proper qualification of new projects and successful implementation of programs in the production/manufacturing unit
• Track and monitor project progress to ensure project schedules and cost objectives are met
• Actively follow on sales leads and take lead in business development
• Serve as primary technical contact with customers on strategic or politically sensitive issues
• Generating quotation for molding projects involving new tooling
• Work with Manufacturing on developing and establishing workflows and production concepts (to optimize production efficiency &meet customers’ requirements)
• Identify and specify engineering requirements for new projects
• Initiate equipment procurement activities for new projects when needed (with Purchasing)
• Plan and execute tooling qualification activities with supporting groups to achieve successful project execution

Benefits:

• Salary: Up to $3600
• Working location: Joo Koon
• Working hours : Mon to Fri, 8.30am to 5.30pm

Please submit your updated resume in MS Word format by clicking the QUICK APPLY button.

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available at www.alwayshired.com.sg/privacy-policy.

Gisalle Lim

Registration Number: R23115299
AlwaysHired Pte Ltd
EA Licence No: 24C2293

Job scopes

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Job requirements

• Bachelor’s degree in computer science or any equivalent
• With 3+ years’ experience in Data Engineering, DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming tech skills, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.)
• Good data structure and system design skills
• Good knowledge of information security

Thank you for your interest!

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultant at [email protected]

Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

Objectives of the position:

This role involves Customer Quality Support for our company’s product distribution, addressing customer feedback and product quality requirements/issues. The person in this position will be responsible for handling customer feedback or requirements, such as complaints, test data, and other technical information as requested. This includes necessary communication with all stakeholders (Customer, Supplier, Customer Service, Production Planning, Supplier Management, Logistics).

Knowledge in cable testing or Electrical & Electronic (E&E) product testing, along with an understanding of technical specifications, will be required to comprehend customer complaints (both technical and logistical) and provide appropriate advice for resolution.

Key Responsibilities:

1. Manage Customer Complaint Processes:

• Acknowledge the complaint

• Update the complaint in SAP & Customer complaint log

• Track the complaint & Close the complaint once actions are completed

• Summarize complaints for monthly reporting (LOS & Q-reporting)

• Properly handle customers’ needs by providing accurate and timely information on inquiries related to cable standards, test reports, and complaint handling

2. Track Supplier Quality:

• Conduct incoming inspections when required or prompted by customer complaints

• Update results in the SAP system and release inspected lots according to the defined usage decision

• Generate Supplier Corrective Action Requests (CAR) and track corrective actions by liaising with the supplier

3. Compliance with Standards:

• Familiarize with and comply with international cable testing standards and procedures

• Contribute to achieving company and department KPIs through due diligence, duty of care, and personal accountability for quality assurance in all tasks

4. Liaise with Stakeholders:

• Effectively close customer complaints by liaising with relevant stakeholders

5. Maintain Records:

• Maintain records in SAP and other relevant records

6. Operate Laboratory Test Equipment:

• Operate laboratory test equipment when required for the validation of complaints

7. Assist with Customer Technical Enquiries:

• Assist with product test reports, RoHS, REACH, and CE inquiries

8. General Assistance:

• Assist in other day-to-day activities related to the QA department as assigned by your superior

Skills & Qualification:

• Min. Diploma in Engineering (Electronics / Electrical) or equivalent

• Min. 1 year of experience in electrical / electronic product testing and qualification

• Knowledge in ISO 9001: 2015 QMS standard will be added advantage

• To be able to operate lab equipment (calliper, visual scope, resistance checker, High voltage tester).

• Prior experience in SAP system is required for this role.

• Knowledge of cable product testing is an added advantage

• Good customer handling skills and able to communicate to all levels in the organization

• Proficient in Microsoft Words, Excel & Power point

• Addresses present issues immediately and independently

• Possess self-confident and willing to share opinions and expertise in discussions

• Anticipate potential problems and takes action to avoid crisis

• Provide support to colleague in the Department and work as a team to achieve Department goals and targets

Mon to Fri 8.30am to 5.30pm