As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

• Full time Level 2 “Cisco Voice and Wireless” Network engineer to perform and handle but not limiting to:
• Project technical lead for ICT Projects
• Support in daily operations on incident management, problem(s) / issue(s) remediation and service(s) restoration.
• Fulfilling of service request(s) related to network voice and wireless following the Change Management procedure. Create and maintain documentations of network configuration, network diagram, mapping, processes, and service records.
• Manage, track and assessment all of principal advisories on patches on vulnerability and firmware upgrades Planning and applying of devices security patches and firmware upgrades.
• Any other tasks assigned by the Institute.

Full time Level 2 “Cisco Voice and Wireless” required qualification and experience:

At least 3 years of strong experience with in-depth hands-on experience on Cisco Wireless devices and Cisco Voice devices as below:

• Cisco Wireless Controllers
• Aruba Clearpass
• Cisco DNAC
• Cisco ISE
• Cisco CMX
• Cisco Expressway Core and Edge for Jabber, Cisco Auto Attendant, Call Manager
• Cisco Voice Gateway
• Relevant Diploma or Bachelor’s Degree in Computer Engineering (or equivalent).
• Candidate with CCNP Wireless and/or CCNP Collaboration or equivalent will be an added advantage.
• Strong communications and written skills in English.
• Excellent problem-solving skills in a multi-tasking, fast-paced and complex work environment.
• Good communication skill, positive attitude, team player, resourceful and resolve problems independently.
• At least 3 years supporting a campus wireless network and IP voice infrastructure.

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

· Responsible for project management, On-Premise Network Management, Cloud Deployment, implementation, testing, support, and maintenance of Cloud Hosting Environment.

· Provide support, act as liaison/ consultant for Deployment of SaaS solution on the Cloud Environment.

· Provide support for SaaS solutions on the Cloud Environment offered by the Company.

· Responsible for testing out different tools used for Code Scanning, Vulnerability assessment and penetration testing on our environment.

· Support team members in the continuous effort to enhance and upgrade existing Hosting environment to support changes in the technology and business environment.

· Provide good service and timely response to the needs of external customers and within the office

Job Title: Site Engineer (Electrical) (ID5084)
Location: Paya Lebar / On site
Working Hours: Mon to Fri 8am - 5pm, Sat 8am – 4pm
Salary: $2800 - $4000

Job Description:
• Capable of reading electrical and ELV drawing schematic diagram drawing.
• To coordinate and liaise with Client/Sub-Contractor on project and maintenance related matters to ensure to smooth execution of site work.
• Able to review and understand contract specification, prepare and submit variation order as according to the requirement.
• Able to perform engineering design, load and fault calculation.
• Able to resolve technical issues related to installation, commissioning and testing.
• Ensure the installation works are done according to the approved shop drawing, method statement, project specifications and relevant standards.
• Attend regular site meetings with Client/Sub-Contractor to discuss and resolve the site matters.
• To assist Project/Site/Construction Manager on in handling and monitoring the project progress.

Requirement:
• ITE/Diploma/Degree or equivalent in Electrical Engineering.
• Experience in project management handling for industrial or commercial purpose.
• Experience in MRT Project is a bonus.
• Knowledge in designing phases or street lighting works related is a bonus.
• A team player and possess problem-solving, coordination and management skills.

Job Title: Assistant Maintenance Engineer (Recycling Company) ID9120
Location: Tuas
Working Hours: Monday to Thursday 8am-6pm, Friday 8am-5pm
Basic Salary: $2500-$2800

Benefit:
* Variable bonus provided with AL 14 days
*Company transportation provided at Boon Lay MRT

Job Description:
• Performs total preventive maintenance (TPM) procedures as planned.
• Performs inspections required by scheduled TPM or Work Order requests.
• Performs basic troubleshooting on mechanical and hydraulic equipment.
• Perform regular maintenance tasks at the facilities in accordance with the SOP.
• Identify and pro-actively respond to maintenance and operation needs.
• Support the Maintenance Supervisor (Mechanical) in performing the maintenance duties.
• Allocate appropriate resources to execute the work order, follow up work order and
ensure that resources are used to optimum effect.
• Assessing the need of mechanical spare parts to avoid delays in TPM. Tool & instrument inventory/ maintenance.

Requirement:
Minimum Diploma in Mechanical Engineering with 1 year of experience in a Power Plant environment

The ideal candidate is a skilled engineer and works physics simulations, 3D volume image construction, signal processing, electromagnetic control with AI.

Responsibilities:

1. Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics.

2. Strong physics skills - good knowledge of electromagnetism, finite element methods, and classical mechanics.

3. Strong problem solving and engineering skills.

4. Strong python, C++ or java coder

5. Good knowledge of python tools such as tensorflow, pytorch, numpy, pandas, sklearn, scipy, seaborn

6. Proficient in building deep learning neural network models

7. Published papers in top machine learning or computer vision conferences, ICML/NIPS/CVPR/ICCV

Education/Professional Qualification:

Bachelor's, Master's or PhD degree in Engineering or Computer Science or Mathematics or Physics.

Requirements:

1. Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics.

2. Strong physics skills - good knowledge of electromagnetism, finite element methods, and classical mechanics.

3. Strong problem solving and engineering skills.

4. Strong python, C++ or java coder

5. Good knowledge of python tools such as tensorflow, pytorch, numpy, pandas, sklearn, scipy, seaborn

6. Proficient in building deep learning neural network models

7. Published papers in top machine learning or computer vision conferences, ICML/NIPS/CVPR/ICCV

• Position : Sales Engineer (Technical/Electronics) - Junior Role - Up to $4,000 + AWS
• Location : West - Pioneer
• Working hours : Monday to Friday | 8.15am to 5.30pm
• Salary (commensurate with experience) : Up to $4,000 + AWS + 12 - 18 Days Annual Leaves + Medical Benefits
• Duration : Permanent
• Industry : Electrical/Electronics Engineering

Main Responsibilities:

• Assisting Sales Engineer to prepare quotations, proposal according to customer’s requirements
• Follow up on sales lead, sales order and coordinating.
• Reviewing of daily service jobs performed by technicians.
• Occasionally conducting of technical training/consultation to customers.
• Other Ad-hoc duties assigned.

Requirements:

• Minimum of Diploma in Electrical & Electronics Engineering with at least one year of working experience.
• Familiar with power electronics, battery chargers, UPS and its related products would be an advantage.
• Bilingual in English and Mandarin to liaise with suppliers who can only speak mandarin.

Email to: [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Chloe Ong

Senior Consulting Manager (APAC)

Reg no.: R22105510

EA No: 13C6684

Objective:

Provide 24x7 support for all Implant Equipment Tools and Issues

Job Description:

• Possess knowledge on SPC, DOE, FDC, ECMS and all the statistical analysis tools to help optimizing equipment robustness..
• Able to coach junior engineers in performing hardware trouble-shooting for daily operations
• Establish Preventive Maintenance (PM) plans for all implant equipment and optimize PM for quality, cost, and productivity.
• Liaise with vendors to resolve equipment issues and improve equipment performance
• Initiate meeting with both process and manufacturing Engineers to ensure work is carried out efficiently to meet module objectives and analyze low yield and WAT issues
• Establish stock levels of essential spare parts and consumables to support equipment maintenance based on forecasted manufacturing volume. Liaise with vendors to minimize / eliminate over-stock or under-stock
• Manage new equipment start-up to support production, from facilities hookup, vendor startup, to acceptance of equipment for production
• Develop continuous improvement and Implement equipment improvement projects to improve equipment efficiency, cost reduction and reliability of equipment
• Forecast financial budgets for equipment expenditures. Setup tracking system to monitor expenditures
• Set targets, goals, and projects for the section to minimize wafer scrap, equipment cost per wafer, optimize equipment capability and utilization to meet operational needs
• Provide feedback / training to AEs and TAs on their troubleshooting skills, equipment knowledge, decision making, risks assessment
• Follow up on SPSR, MRB, 8D, TECN, and ECN documentation for closure of issues / events. Provide guidance to Junior Engineers
• Self audit and update specifications to meet TS16949 Quality Standard requirements
• Set Expectation and carry out performance appraisal for Technician or AE as instructed by Section Manager. Help the AE or Engineer on their career path development
• Provide long term solutions to address daily issues. Resolve department hardware chronicle issues.
• Create and maintain implant operation SOP and PM OI
• Develop continuous improvement to enhance equipment reliability and cost of ownership, Able to plan implant cost budget

Requirements:

• Degree in Electrical / Electronics / Mechanical / Mechatronics / Microelectronics Engineering
• Min 3 years of relevant work experience in Diffusion Implant Equipment for Engineer and more for Senior and above
• An excellent team player with good interpersonal, communication and written skills
• Strong logical thinking capability and good analytical skill
• High level of integrity with strong leadership attributes to lead and coach a team
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Looking for a technical professional who plays a crucial role in the sales process of complex technical products or services. Their primary responsibility is to bridge the gap between the sales team and the engineering or technical teams, providing technical expertise and support to help win new business and retain existing customers.

Role

• Manage existing customers and develop new customers.
• Provide pre-sales and after-sales support to customers.
• Prepare quotations and follow up on sales enquiries/proposals from customers.
• Sales Engineer to be responsible for the sales and marketing of DRAM and flash memory products.
• Support marketing activities in seminars, trade shows, conferences, and other marketing events
• Carry out cold calls and sales visits to existing and prospective customers.
• Facilitate meetings, workshops and new product introductions with customers as and when required.

Job Requirement

• At least 1 year in a sales position managing key account, able to conduct business development activities
• Familiar with handling electrical system and component sales
• Familiar and experience with the equipment automation / machinery building industry
• Technical knowledge of low voltage electrical components and products
• Hands on, sales target driven and a good communicator

Duration

6 months

Equipment Operation:

• Operate and monitor Tape and Reel packaging machines, ensuring efficient and accurate production.
• Perform setup and adjustments on equipment to meet production specifications.
• Other tasks related to operations assigned based on business needs.

Maintenance and Troubleshooting:

• Conduct routine maintenance on Tape and Reel equipment to ensure optimal performance and minimize downtime.
• Troubleshoot and resolve equipment (Tape and Reel, vacuum sealing, strapping machine etc.) issues.
• Maintain the machine for continuous operation.
• Overview machine performance and compile machine down time.
• Planning and implement the machine upgrade.
• Diagnostic and troubleshoot and rectify any machine related issues.
• Support the machine upgrade.
• Trouble shoot and repair pick and place machine, vacuum machine, strapping machine.
• Buy off for the machine upgrade.
• Maintain the machine’s recipe.
• Maintain and backup the machine’s log records and software.

Machine Preventive / Predictive Maintenance

• Execute periodic preventive maintenance on the machines.
• Overview machine performance, ensure fully support of the machine to the operation.
• Replace the faulty machine parts.
• Record the log of the preventive maintenance for the machines.
• Manage the equipment for the preventive maintenance use.
• Plan and perform predictive maintenance by analyzing the machine performance.
• Ensure no or minimum breakdown of machine with no disruptions to the operations.

Spare part Management

• Vendor sourcing and RFQ for the spares with proper vetting and analysis.
• Procurement of the necessary machine spare parts.
• Setup for the new equipment and tools.
• Keep record of the machine spare parts.
• Track consumption of spares and ensure minimum balance of spares are maintained.
• Source alternate spares to improve the spare parts life.
• Tracking of life span of the spares and improvement projects to increase the life span of spares.
• Overview and manage the replacement of the spare parts.
• Maintain the minimum quantity of the spare parts.

Process / Machine Development

• Create label program file based on the customer’s requirements.
• Enhance processes for Tape and Reel packaging, ensuring alignment with product specifications and quality standards.
• Create and maintain process documentation, including work instructions, process flows, and control plans.
• Evaluate new materials and technologies that can enhance process capabilities.
• Performs new product, materials, machine qualification and buy off
• Conduct and arrange training and certification for operators

Quality Assurance:

• Liase with Quality Assurance on the new package requirements.
• Review and update BOM of customer requirements for new product / specifications requirements.
• Send FAI report for new package.
• Support in the investigation of internal/external customer complaints to find the root causes and advise appropriate solution to resolve them.
• Performs product low yield and reject verifications analysis
• Responsibilities for specification update for any new process and product qualified
• Performs new product, materials, machine qualification and buy off.

AVN-Digital is an expert in providing technology-enabled business solutions and services. Since inception, AVN-Digital has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge, industry experience, and unique methodologies enable us to successfully deliver and meet our customer’s expectations.

We are currently looking to hire a Data Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE

Long Term Contract

ROLES AND RESPONSIBILITIES

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

Job Description:

• Responsible for the upkeeping of facilities and equipment.
• Plan and implement effective preventive maintenance program for facilities and equipment.
• Ensure preventive maintenance stipulated are being conducted promptly.
• Coordinate with contractors in relation to facilities/equipment repair and maintenance, ensure their quality and safety standards meet the requirements.
• Closely monitor all critical repairs to ensure short down time.
• Maintain proper documentation.
• Recommend the replacement and upgrade of facilities and equipment through the annual budgeting process.
• Participate in continuous improvement program to achieve cost reduction.
• Perform any other duties as and when assigned.

Requirements:

• Diploma and above, preferably in facilities management, mechanical or electrical engineering.
• Relevant work experience in facilities.
• Licensed Electrician Worker (LEW) accredited by EMA will be an added advantage.

Responsibilities

• Lead a team of line leaders and operators to meet daily production output, quality, productivity and yield.

• Conduct daily pass-down meetings and escalate line issues if any

• Oversee manpower/overtime and consumables planning

• Ensure manufacturing and safety procedures are being followed

• Conduct training/coaching to leaders & operators to improve performance

• Implement ideas and improvement activities to prevent human errors

• Ensure good discipline and housekeeping in the line

• Coordinate with other departments to support projects, evaluations and preventive maintenance activities in the fab

Requirements

• Diploma/Degree in Engineering/Science/Production/IT

• Preferably experienced in high-tech, high-vol manufacturing environment

• Good leadership and communication skills

• Willing to work 12-hour shifts (day or night)

• Designs systems and develops products to meet specific needs and requirements
• Tests and evaluates theories
• Executes experiments analytically
• Creates budget estimates for projects
• Modifies designs as necessary
• Prepares and records results for documentation
• Assists in the research and development processes
• Designs blueprints of products and equipment
• Builds prototypes
• Generates work logs and reports

Responsibilities:

• Perform troubleshooting, assist in investigation and resolving production issues
• Identify and implement continuous process improvement and cost control initiatives
• Trending for process parameters
• Manage capability setup for new equipment and processes
• Carry out tolling review and control and submission of capability declaration
• Handle proper documentation for publication review, worksheet amendments and in-house specifications amendments
• Provide technical support to Operations, ensuring productivity efficiency
• Review, investigate and provide solutions to issues raised by Operation
• Carry out training on repair processes and any other related practices

Requirements:

• Degree or equivalent, preferably with experiences in propulsion engines and components MRO facility
• Ability to interpret engineering drawings
• Prior experience in repair processes will be an added advantage
• Familiar with NDT requirements and FAA 45 /EASA 145 regulations

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

Job Title: Engineer (ID5079)
Location: Serangoon
Working Hours: Mon to Fri 8.30am - 6pm
Salary: $3200 to $4500

Job Description:
• Technical transfer product/project in assembly and testing, and from customers
• Provide technical support in manufacturing and testing in product build
• Provide technical support to QC in RMA issue
• Provide technical support to QA in Compliance, Regulatory, Customer & Audit

Requirement:
• Minimum Diploma in Electronics Engineering
• At least 2 years of relevant work experience in Electronics Manufacturing industry
• Technical competent to handle product/project manufacturing, transfers and troubleshooting
• Experience in product/project, PCBA manufacturing and testing
• Able to liaise with customer on technical matters
• Experience in manufacturing environment with ISO13485 & FDA preferred
• Good communication and problem-solving skills
• Medical product experience and Quality Management System exposure preferred

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.

• Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

- Envisioning and preparing the Bank’s futures information systems

- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.

- Providing premium In-house Banking applications,

• This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
• We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

The Team and Position

Embark on a transformative career journey as a DevOps in our Capital Market Department! Join a forward-thinking team committed to revolutionizing financial technology.

As an Intern, you will be immersed in cutting-edge projects, shaping the future of capital markets. Unleash your creativity, collaborate with industry leaders, and drive innovation that sets new standards. This is your chance to be a catalyst for change and make your mark in the dynamic world of capital markets.

Capital Markets IT involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like blockchain and artificial intelligence is also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.

AO (DevOps) team Main Role

• Industrialization: Implement all necessary tools to manage the environments, the continuous integration, the continuous delivery and the processes execution.
• Environments: Manage and administrate environments from assembly to production (rules included), infrastructure implementation, and operational usage.
• Operations: Execute the maintenance operations, delivery and environment monitoring.
• L1: Operate as L1 on non-production environments for delivery teams and on production for support teams.

Main Responsibilities

• Gain practical experience with the latest DevOps tools and technologies, including CI/CD pipelines, cloud platforms, and infrastructure as code.
• Learn how to implement and manage complex environments and processes.
• Participate to the automation of the deployment solution
• Participate in environment preparation for testing phases.
• Work closely with experienced professionals in a collaborative and supportive environment.
• Contribute to the success of the team by implementing innovative solutions and improving processes.
• Stay updated on industry trends and advancements in Java and DevOps methodologies

Qualifications and Profile

Candidates should have:

• Appetite to follow technology trend and participate to communities.
• Eagerness to learn and adapt in a dynamic DevOps environment.
• Proven ability to deliver high-quality software solutions on time.

Other Professional Skills and Mindset

• Understanding of Agile development methodologies.
• Excellent problem-solving and analytical skills.
• Effective communication skills and ability to work collaboratively in a team.
• Eagerness to learn and adapt to new technologies.
• Passion for sharing expertise and grow team members’ skills.

The scope will be adapted depending on the situation and the progress of the trainee.

Please via below link:

https://app.jobvite.com/j?cj=ou3Bufwm&s=URL

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor ecosystem.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.

• Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

- Envisioning and preparing the Bank’s futures information systems

- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.

- Providing premium In-house Banking applications,

• This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
• We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Mission

As an intern, your mission is to become a valuable asset to our organization by:

• Interacting comfortably with people: Building strong collaborative relationships within the team and stakeholders.
• Automation and Development: Demonstrating a deep passion for development, specially in

- Technologies: Java/J2EE, Shell Scripting, PL/SQL, SQL

- Database: Sybase, Oracle, PostGreSQL

- BDD Framework: Cucumber

- Source Code/Lifecycle Management: SVN/GIT, Jenkins, Gitlab, Ansible, MasterDeploy

- Automation tools and frameworks: JUnit, TestNG, Selenium

• Interest in Bank activities: Apetite to understand the business activities of the bank on Capital Markets.
• Process automation: Appetite for continuous improvement and automation of new as well as existing process to enhance efficiency and reduce the TAT.

During your internship, you will have the opportunity to:

• Learn about Global Market Front Office activities, Financial Data, Transaction Reporting, Market Data, Risk Indicators and Regulaotry requirements – opportunity to learn end-to-end invensment banking workflow.
• On the job training to directly apply your learning and be impactful.
• Gain insights into Software Development, understand the SDLC and its real-life implementation.
• Collaborate with Subject Matter Experts, including Business Analysts, Support Analysts, Developers, DevOps Engineers, and Quality Software Developers.
• Benefit from the guidance of a dedicated mentor.
• Deliver on jobs that directly impact the banks day-to-day activities and witness the added value of your job directly from business lines.

Qualifications and Profile

Candidates should have:

• JAVA/J2EE.
• SQL, PL/SQL and UNIX/LINUX Scripting skills.
• Excellent Aptitude, Curious to learn and inquisitive.
• Excellent communication and interpersonal skills.
• Autonomous, self motivated and excellent team player.
• Fluency in English - as acting in a multi-cultural environment.

The scope will be adapted depending on the situation and the progress of the trainee.

Please apply via below link:

https://app.jobvite.com/j?cj=oj2Bufwa&s=URL

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

MedTech Catapult is a national initiative for accelerating the development of high-value MedTech projects through an in-house product engineering unit. This productization unit is responsible for supporting the development of technologies through the medical device development cycle to produce full-fledged hardware product systems.

The Lead Engineer will report to the Lead, Product Engineering.

Job Responsibilities

• Responsible for software engineering efforts for integrated medical technology product solutions.
• Responsible for software architecture design and FW requirements specifications generation.
• Design, develop and implement embedded SW for medical instruments and devices and related interface systems using a variety of languages (e.g. C#, ASP.NET etc.), ensuring optimal performance, reliability, and power efficiency.
• Lead software risk management and DFMEA, software verification and validation activities from early concept phase through release to manufacturing according to IEC 62304.
• Responsible for software integration and implementation for embedded systems, ensuring products are according to design requirement.
• Write and execute complete testing plans, protocols, and documentation.
• Identify, debug, and create solutions for issues with code and integration into application architecture.
• Incorporate real-time data acquisition from sensors and closed loop control algorithms and verify real-time closed loop control of systems parameters.
• Support development of intellectual property portfolio in device design and process technology know-how.
• To interact closely with engineers from other disciplines to achieve an optimized design within the stipulated project schedule.
• Write and review documentations for QMS.
• To support other activities for product engineering when required.

Requirements

• Degree in Information Technology, Computer Science, Electronics or a related discipline.
• Minimum 10 years of experience in developing embedded firmware with hardware integration experience related to MedTech applications.
• Complete product lifecycle experience including early concept work, and successful transfer of designs into manufacturing.
• Experience with electrical components such as ADC, DAC, stepper and dc motors, image sensors, Ethernet, I2C, SPI, USB and CAN.
• Good experience with ARM processors or other microprocessor architectures.
• Knowledge of computer architecture and operating systems.
• Familiarity with variety of Operating systems including Windows, MacOS X and Linux; and Mobile platforms, including iOS and Android.
• Familiarity with Network technologies, including TCP/IP, Bluetooth, Zigbee, WiFi and Modbus.
• Familiarity with Languages such as C/C++, C#, Python, MATLAB, and Java.
• Experience managing QMS and proficient with GMP guidelines.
• Good collaboration skills, organised and detailed.
• Demonstrate strong interpersonal skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor ecosystem.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.