- Assist in conducting Preventive Maintenance of assigned medical devices

- Assist to conduct medical devices operation training to end-user

- Ensure that all machine spare parts are properly stored and accounted for.

- Attend to service and repair call

-Track and ensure consumable parts are replaced in time as well as service contract is renewed timely.

Job Responsibilities

Technical Expertise:

1. Install, configure, troubleshoot, and maintain server and network hardware.

2. Diagnose and resolve complex server and network hardware issues.

3. Develop and implement preventative maintenance plans.

4. Document service calls, repairs, and procedures in detail. Spare Parts Logistics:

5. Manage spare parts inventory for servers and network devices, ensuring efficient stock levels.

6. Analyze spare parts usage patterns to anticipate future needs and prevent stockouts.

7. Work with the supply chain department to maintain a reliable source for spare parts procurement.

8. Implement efficient procedures for tracking, issuing, and managing spare parts.

OEM Expertise:

1. Utilize your certifications from major hardware Original Equipment Manufacturers (OEMs) to troubleshoot hardware issues and optimize performance.

2. Stay informed on OEM product updates, warranties, and support options.

3. Leverage OEM knowledge to identify the most appropriate spare parts for specific equipment.

4. Collaborate with OEM support teams for complex issue resolution, if necessary.

Project Supervision for Reinforced Concrete Building and Engineering works.

Project Coordination with Consultants and Maincon

Preparation of Rebar Bending Schedule

Required to have a Extensive Knowledge in Preparation of Rebar Bending Schedule.

Required to have Autocadd Knowledge

Strong Background in Project Coordination - Archi & M&E

Troubleshoot equipment faults.

Carry out preventive and/or corrective actions.

Ensure all work processes comply with quality, environmental and safety procedures and requirements.

Perform ad-hoc assignments for technicians such as technical support, training and assessments.

Train and coach technicians, check that they carry out maintenance properly.

Communicate with customers on any operational enquiries and/or feedback.

Report to Operations Manager timely on any unresolved lift issues encountered.

A Construction Company is seeking for a self-motivated & independent individual to join us.

Responsibilities:

• To ensure the work is carried out safely, meeting the schedule, budget and quality requirements
• To manage and allocate manpower and resources required for the works
• To provide technical input for the preparation of work plans, schedules and work methodologies
• To closely liaise with the Client, Consultants, designers and other stakeholders
• To supervise and direct the work of project staff, sub-contractors and vendors
• To prepare technical write ups and reports as required
• To provide regular performance status reports on progress of works, cost forecast and safety status
• Assist project manager in daily task

Requirements:

• Degree in Civil/ Structure Engineering
• Registered Engineer (RE) in BCA,PEB will be ad added advantage
• Additional qualication: Advanced Certificate in Construction Productivity (ACCP) or Specialist Diploma in Construction Productivity (SDCP)
• 3 years working experience in building construction

A. Main Functions

1. Design furniture to meet client’s request.

2. Seek opportunities to propose solutions and improvement to existing products.

3. Design layout plan on space given for the installation of furniture to meet client’s request.

4. Provide technical support to Sales & Operations teams in executing projects.

5. Investigate technical aspects and root cause of problems in products and initiate corrective actions to rectify problems.

6. Develop preventative measures to prevent recurrence of problems.

7. Assess the impact of deviation on product quality.

8. Implement best practices in developing technical solutions.

B. Other Functions

1. Keep track of project schedule and products delivery schedule.

2. Provide support to Operations Team to load and store goods delivered by suppliers.

3. Provide support to Operations Team to deliver products to customers.

4. Assist Sales Managers to carry tasks that will help to resolve issue relating to products delivered to customers.

5. Attend site briefing and visit with Sales Managers when necessary.

6. Keep track of inventory record and setup product bundles in Quickbooks Application System.

Airconditioning Engineers

1) Ability to lead and manage teams

2) Operation Supports to teams and clients

3) Self Motivated Individuals

4) Good Team Player

5) Experienece In Troubleshooting and Repair / Service of Split Type and VRF/ VRV systems

6) Valid Class 3 License

7) Minimum 5 years experience in Airconditioning Field

8) Possess field experience is a MUST

9) Strong troubleshooting and analytical skills

10) Prior experience working in MNCs Agent will be an advantage (I.E. Daikin, Mitsubishi, Toshiba)

Senior Installation Engineer (Ref.No. R1007489 )

at our location in Singapore

You will enjoy having these responsibilities:

• Ensure production on Installation engineering activities in line with Project strategy.
• Able to Manage teams assuring to reach project targets (delivery, quality of works, budget)
• Ensure application of Hitachi Rail Strategy, Policies and Technical Standards (including local regulations and professional standards)
• Ensure application of HSE policy and standards to installation works
• Manage their own environment at a remote location in terms of cleanliness, organization, workload, risk assessments
• Upon completion of any work on site, the engineer is required to complete and submit to the Installation Manager and local business unit all relevant reports, backups and signed documentation
• When not on site, the engineer will be required to assist the Engineering department, either remotely or in the office, with technical advice and support or to complete other tasks as directed by the Installation Manager
• Provide effective, efficient technical support assistance and service to our customers in a professional and courteous manner via inbound calling, on-line chat, support portals, and ticketing
• Report as per Installation Manager request on the progress of the delivery of the document to be provided as per schedule
• Support the Installation Manager for review of the Installation Engineering activities, including Risk identification and mitigation proposal
• Interface with other Project stakeholders – internal or external - for getting needed data, for delivering the Installation Engineering documentation / drawings
• Identify and report on issues on document and drawing delivered
• Prepare and execute Installation Engineering activities (Site survey, review drawings, …) in support of one or several Projects in conformance with Hitachi Rail policies and standards, applicable regulations and technical standards (including local regulations, professional standards)
• Coordinates and implements customer installation activities in a time sensitive manner

You have:

• 6 to 8 years of experience in site installation engineering for complex projects in Railways, metro, transportation fields
• Bachelor’s degree/ Diploma in Telecommunication engineering, electronic engineering, computer science, electrical engineering, Civil/mechanical engineering
• Experience with CAD - Checking of design engineer’s calculations and drawings.
• Work according to the time work schedule and Ensure deadlines are set and met.
• His main work will be on site – 6 days in the week
• Excellent command of the English language (read, written, spoken)
• Willing to work in night shifts and on call duty.
• Positive work attitude, good planning and organization skills.

Job Description:

• Engage in conversations with customers to answer any technical queries with regards to product specification and application.
• Prepare quotations to customer.
• Pick up of customer's items & delivery of goods to customers.
• Liaising with production team to ensure production schedule is align with delivery date.
• Perform on-site servicing & installation of goods to customer's equipment.
• Prepare sales reports after visiting customers.
• Analyze sales output/ forecast.

Requirements:

• Must possess a class 3 driving license & must be willing to drive company's vehicle to deliver/pick up goods.
• Must be physically fit.
• Must have a pleasant personality to engage in conversations with regards to customers' queries.
• Must be able to read engineering drawings. An added advantage if you are able to use Solidworks software to draw.

Employment Type : 1 Year Contract , Renewable

The Quality Engineer provides support for Quality Operations to ensure product safety and performance. This role involves executing, maintaining, and improving quality operations procedures, including the management of incoming materials, in-process inspections, outgoing product inspections, and environmental monitoring for the serial production of components and products at BIOTRONIK Singapore. Additionally, the Quality Engineer ensures that manufactured components and products meet BIOTRONIK's specifications, comply with cGMP guidelines, and adhere to quality system standards. The role also requires maintaining communication with relevant Quality departments and collaborating with BIOTRONIK AG (BIO-CH).

Your Responsibilities

· Enforce and maintain quality operation procedures relevant to the production site, including process validation, non-conformance management, trending, and DMAIC.

· Collaborate with in-house microbiologists and external testing laboratories to plan, coordinate, and review testing, analysis, and reporting.

· Conduct incoming inspections of materials.

· Generate and review reports on quality issues and change controls.

· Apply Six Sigma principles and a least-burdensome approach to quality topics.

· Ensure the safety and performance of products manufactured at the site.

· Contribute to continuous improvement initiatives and manage CAPA (Corrective and Preventive Actions).

· Provide training on quality-related topics.

· Maintain contact with suppliers and service providers.

Your Profile

· At least a Bachelor’s degree in Mechanical Engineering, Biomedical Engineering, or a related field.

· One to two years of experience in a quality role within a regulated environment, such as the medical devices or pharmaceutical industry.

· Knowledge and experience in quality techniques, including Six Sigma methods such as DFSS, DMAIC, DoE, and FMEA.

· Familiarity with cGxP regulations, including ISO 13485 and FDA 21 CFR 820.

· Understanding of statistical methods and their applications in quality control.

· Proficient in English, both orally and in writing.

· Proficient in Microsoft Office and SAP.

1. Singapore Citizens or PRs are preferred;

2. It is best to have more than 3 years of work experience in MECHANICAL ENGINEER or MECHANICAL ENGINEERING TECHNICIAN

3. The salary range is between SGD 2400-4600.

4.Work 6 days a week, overtime on Saturday and Sunday, shift work system.

Interested applicant please email your resume at [email protected] or contact us at +65 86969408.

Singjob International Pte Ltd | Rainobw Deng | R1871429 | EA License No. 18C9193

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Description:

• Develop and implement new optic systems
• Resolve optical / illumination issues
• Identify necessary and desirable improvements of vision optical system performance

Requirements:

• Bachelor’s Degree in Optics Engineering / Physics/ Photonics etc
• Experience with optical design software, optical alignment and optical testing preferred.
• Proficiency in using Zemax or Code V
• Knowledge and experience in high magnification optics or IP cameras
• Familiar with lenses, specification, design trade-offs, basic optics modelling techniques, light measurement equipment and techniques are a must-have

Main Role and Responsibilities

• The candidate will be responsible for automating deployments of various infrastructure deployment elements using VMware vRealize Automation and Orchestration
• I need to understand infrastructure elements and deployment architecture.
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.
• The candidate should have a good understanding of interfacing applications with vRA / vRO APIs
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.

Skills:

• Hands-on project execution experience using Ansible, PowerShell and customization of workflows using Orchestration in VMware vRealize Suite environment.
• A good understanding of infrastructure elements, virtualization and sizing like CPU, RAM and Hard Disk usage.
• Candidate should be prepared to work extended hours specifically for giving hyper support after production release.

Your Role

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by CLIENT’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Job Description

• To assist the Sales department to generate quotation
• Perform sales admin duties
• Handle any sale enquiries
• Any other task required by the company

Job Requirements

• Diploma in Electrical Technology or Building Services Technology (Mechanical /Electrical)
• Basic Computer Knowledge
• Training will be provided
• Applicant with experience in construction industry -Fire protection will be advantage

Your Role

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by CLIENT’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring.

Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

· Optimize data engineering workflows for containerized deployment and efficient resource utilization.

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

[1 year contract, renewable]

We are looking for a talented UX Engineer / Design Technologist who is passionate about

creating seamless user experiences that are both visually appealing and technically sound. In

this role, you will collaborate closely with UX/UI designers, product managers, and full-stack

engineers to bridge the gap between design and front-end development. You will be

responsible for translating design concepts into functional and scalable web applications

while ensuring high-quality user interfaces.

Key Responsibilities:

· Design Implementation: Convert UX/UI designs into high-quality, responsive front- end code using HTML, CSS, and TypeScript (React).

· Prototype Creation: Build interactive prototypes to demonstrate and test user interactions and flows before full implementation.

· Design System Management: Collaborate with the design and development teams to maintain and evolve design systems and UI component libraries for consistent branding and user experience.

· Cross-functional Collaboration: Work closely with designers, back-end engineers, and product managers to ensure feasibility, consistency, and user-centered design.

· Usability Testing & Optimization: Conduct usability tests on prototypes and live implementations to identify areas for improvement in user experience and front-end performance.

· Accessibility Compliance: Ensure all front-end implementations meet accessibility standards (WCAG) for a broad and inclusive user base.

· Performance Optimization: Optimize front-end code for performance, scalability, and cross-browser compatibility.

· Continuous Improvement: Stay up to date with the latest trends in UX design, front- end development, and web technologies to introduce innovative solutions and improve user satisfaction.

Qualifications:

· Experience: 4 years of experience in UX/UI design with a strong focus on front-end development.

· Technical Skills:

Ø Proficiency in HTML5, CSS3, and JavaScript frameworks like React, or Vue.js.

Ø Knowledge of CSS preprocessors (SASS, LESS) and modern front-end build tools (Webpack, Babel).

Ø Familiarity with version control systems (Git) and modern development workflows.

Ø Understanding of REST APIs and basic back-end integration.

Ø Design Tools: Strong skills in design and prototyping tools such as Figma.

Ø UX/UI Expertise: A solid understanding of UX principles, UI patterns, and best practices for responsive and mobile-first design.

Ø Accessibility: Experience implementing accessibility standards (WCAG 2.0+ compliance) in front-end development.

· Problem Solving: Ability to analyze user feedback, research trends, and iterate

· designs based on insights from data and testing.

· Collaboration: Strong communication skills and experience working in an Agile

· environment with cross-functional teams.

· Bonus: Experience in A/B testing and data-driven design improvements.

Bonus Skills:

· Experience in A/B testing and data-driven design improvements.

We are looking for a talented UX Engineer / Design Technologist who is passionate about

creating seamless user experiences that are both visually appealing and technically sound. In

this role, you will collaborate closely with UX/UI designers, product managers, and full-stack

engineers to bridge the gap between design and front-end development. You will be

responsible for translating design concepts into functional and scalable web applications

while ensuring high-quality user interfaces.

Key Responsibilities:

· Design Implementation: Convert UX/UI designs into high-quality, responsive front- end code using HTML, CSS, and TypeScript (React).

· Prototype Creation: Build interactive prototypes to demonstrate and test user interactions and flows before full implementation.

· Design System Management: Collaborate with the design and development teams to maintain and evolve design systems and UI component libraries for consistent branding and user experience.

· Cross-functional Collaboration: Work closely with designers, back-end engineers, and product managers to ensure feasibility, consistency, and user-centered design.

· Usability Testing & Optimization: Conduct usability tests on prototypes and live implementations to identify areas for improvement in user experience and front-end performance.

· Accessibility Compliance: Ensure all front-end implementations meet accessibility standards (WCAG) for a broad and inclusive user base.

· Performance Optimization: Optimize front-end code for performance, scalability, and cross-browser compatibility.

· Continuous Improvement: Stay up to date with the latest trends in UX design, front- end development, and web technologies to introduce innovative solutions and improve user satisfaction.

Qualifications:

· Experience: 7 years of experience in UX/UI design with a strong focus on front-end development.

· Technical Skills:

Ø Proficiency in HTML5, CSS3, and JavaScript frameworks like React, or Vue.js.

Ø Knowledge of CSS preprocessors (SASS, LESS) and modern front-end build tools (Webpack, Babel).

Ø Familiarity with version control systems (Git) and modern development workflows.

Ø Understanding of REST APIs and basic back-end integration.

Ø Design Tools: Strong skills in design and prototyping tools such as Figma.

Ø UX/UI Expertise: A solid understanding of UX principles, UI patterns, and best practices for responsive and mobile-first design.

Ø Accessibility: Experience implementing accessibility standards (WCAG 2.0+ compliance) in front-end development.

· Problem Solving: Ability to analyze user feedback, research trends, and iterate

· designs based on insights from data and testing.

· Collaboration: Strong communication skills and experience working in an Agile

· environment with cross-functional teams.

· Bonus: Experience in A/B testing and data-driven design improvements.

Bonus Skills:

· Experience in A/B testing and data-driven design improvements.

Responsibilities

• Successful delivery of projects from difference service lines according to the quality plan and procedure;

• Assist the QP in planning, coordination and execution of Soil Investigation and Instrumentation projects;

• Provide quality and technical assistance to QP when required.

• Experience in LTA, PUB project will be an advantage.

• Experience in ISO17020 audit will be an advantage.

• Strong technical knowledge in soil investigation, instrumentation and monitoring service line.

• Ability to think strategically and follow through on the successful implementation of plans.

• Team player and strong problem-solving skills.

Requirements:

• Degree in Engineering ecognised by PE Board.

• Min 5 years of working experience in Leading a team on soil investigation and Geotechnical design.

• Accredited by IES/ACES and with valid RTO certification.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Why Join Us

As our clientele expands within the semiconductor and advanced manufacturing sectors, our team needs to expand accordingly. If you possess quick learning abilities and thrive in a rapidly evolving environment, this is the perfect opportunity to join us!

Roles and responsibilities

We are seeking a dynamic and motivated C# Software Developer Intern to join our team. As an intern, you will have the opportunity to contribute to the development and maintenance of software applications using C# programming language. You will work closely with our development team, gaining hands-on experience in database management, networking, and software design.

Key Responsibilities

• Assist in developing and maintaining software applications using C# programming language.

• Work with SQLite and SQL Server databases to manage and manipulate data.

• Gain knowledge and contribute to networking aspects of projects.

• Collaborate with the development team to design, implement, and test software features.

• Optional: Familiarity with SerialPort/TCP IP protocol for communication.

Job Requirements

• Students currently persuing in any Engineering disciplines at ITE/polytechnic/local university, preferrably in computer science or related field.

• Pro cient in C# programming and familiar with SQLite/SQL Server databases.

• Knowledge of networking concepts and protocols is preferred.

• Strong problem-solving skills and attention to detail.

• Ability to work independently and in a team environment.

• Familiarity with SerialPort/TCP IP protocol is optional.

Screening questions:

• The intended internship period will be during your course of study?

• Are you students pursuing Engineering disciplines?

• Are you able to commit for more than 3 months?

Application Instruction

1. Please ensure that you attach a copy of your C.V. with your application.

2. Please indicate date range of internship (e.g. 22 Jul 2024 to 6 Dec 2024 or a later date range)

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Why Join Us

As our clientele expands within the semiconductor and advanced manufacturing sectors, our team needs to expand accordingly. If you possess quick learning abilities and thrive in a rapidly evolving environment, this is the perfect opportunity to join us!

Roles and responsibilities

We are seeking a dynamic and motivated Php Software Developer Intern to join our team. As an intern, you will have the opportunity to contribute to the development and maintenance of software applications using Php programming language. You will work closely with our development team, gaining hands-on experience in database management, networking, and software design.

Key Responsibilities

• Assist in developing and maintaining web applications using PHP programming language.

• Work with MySQL and SQL Server databases to manage and manipulate data.

• Learn and contribute to projects using the Laravel framework (knowledge of Laravel is preferred).

• Collaborate with the development team to design, implement, and test software features.

• Explore and potentially work on frontend development using React (optional).

Job Requirements

• Students currently persuing in any Engineering disciplines at ITE/polytechnic/local university, preferrably in Computer Science or related field.

• Procient in PHP programming and familiar with MySQL/SQL Server databases.

• Knowledge of Laravel framework is a plus.

• Strong problem-solving skills and attention to detail.

• Ability to work independently and in a team environment.

• Optional: Familiarity with React for frontend development.

Screening questions:

• The intended internship period will be during your course of study?

• Are you students pursuing Engineering disciplines?

• Are you able to commit for more than 3 months?

Application Instruction

1. Please ensure that you attach a copy of your C.V. with your application.

2. Please indicate date range of internship (e.g. 22 Jul 2024 to 6 Dec 2024 or a later date range)

Techwise Offshore Consultancy provides design & engineering, marine assurance and construction management services to the marine, offshore oil & gas and renewable energy industries. We are looking for an experienced Offshore Structural Engineer to join our Singapore office.

Responsibilities

· Structural design of FPSO modules and equipment foundations.

· Vessel modification engineering.

· Finite element analyses.

· Rigging design and lifting analyses.

· Seafastening, transportation and offshore installation engineering.

· Structural drawings and installation sequence drawings.

· Site inspections and on-site technical support.

Requirements

· Degree in structural engineering or equivalent.

· Minimum eight years of relevant experience in the marine and offshore industry.

· Proficient in drafting

· Experienced in structural design and finite element analyses.

· Proficient in English.

· Good interpersonal and communication skills

· Attention to details.

· Must be a team player but able to work independently.

The position will be based in our Singapore office and may occasionally need to attend at shipyards or onboard vessels for site inspections. If you are interested, please send your application to [email protected].

Responsibilities:

• Develop green marine solutions that reduces marine carbon footprint, in line with company business objectives.
• Hands on in setting up of test lab to enable development and testing.
• Perform PLC software and algorithm development for electrical propulsion solutions.
• Generate documentation of software architecture and logic flow, test procedures, quality control and any other necessary supporting documents.
• Participate and support commissioning of vessels with similar configurations.
• Troubleshoot and resolve any issues related to our delivered solutions that may arise during the vessel commissioning.
• Any other tasks as may be required by supervisor.

Requirements:

• Min engineering degree in relevant discipline
• Strong software development skills particularly in equipment controls
• Strong analytical and troubleshooting skills
• Hands on person
• Team player
• Good communicator and has no problem engaging with external parties
• Knowledge in power electronics, motor drives, marine propulsion systems is a plus

Qualified or interested candidates, please submit your updated resume in MS format by using the Apply Now Button or email to shinleng.liew(at)cvistahr.com

Candidates are also encouraged to contact our office where our approachable Consultants will address any inquiries and advice you with relation to this job advertisement. Our dedicated HR Consultants will get in touch with shortlisted candidates for a confidential discussion

R23119309 | EA License 16C7883