The role is of ICT Infrastructure Engineer (DBA with monitoring knowledge) for the IT Operation Division.

Job Responsibilities:

Sitting within Data & Technology Architecture Department, the job holder is responsible:

• Support IT Infrastructure migration project as Database SME (Oracle) of critical IT infrastructure, ensuring seamless transition and minimal disruption to operations.
• Create and maintain Unix shell scripts for automation and system maintenance tasks.
• Provide technical support and troubleshooting for Elastic Search infrastructure, including data ingestion, indexing, and search performance optimization.
• Develop and maintain Kibana dashboards for report generation and visualization of data insights.
• Collaborate with cross-functional teams to implement machine learning models for data analysis and predictive insights.
• Utilize observability concepts to monitor and improve the performance, reliability, and scalability of Elastic Search clusters.

What we are looking for

• Knowledge and experience in supporting database systems – Oracle, MySQL and Postgres.
• Solid Unix knowledge and scripting skills for system administration and automation tasks.
• Familiarity with observability tools and practices for monitoring and optimizing system performance.
• Proven experience in supporting and maintaining Elastic Search infrastructure in a production environment.
• Proficiency in data ingestion techniques and creating visualizations using Kibana.
• Strong understanding of machine learning concepts and their application in data analysis.
• Experience with implementing machine learning algorithms within Elastic Search for data analysis and anomaly detection.
• Familiarity with observability platforms such as Prometheus, Grafana, or similar tools.

Please share your updated Cv to [email protected]

We’re a world-leading smart mobility SaaS tech company with over 1.8 million active users. Our teams are collaborative, vibrant and fast-growing, and all team members are empowered with the freedom to influence our products and technology.

Are you curious, innovative and passionate? Do you take ownership, embrace challenges, and love problem-solving?

We’re looking for an Embedded Software Engineer who will help us continue to build industry disruptive tech products and revolutionise the way our customers use technology.

You want to:

• Develop embedded applications both with and without Operating Systems
• Migrate embedded solutions to Linux and other RTOS
• Develop communications systems, systems on chips (SoC), cameras, sensors, and image processing

You have:

• Strong experience into embedded Linux development
• Familiarity with low level programming
• Experience with GSM products required
• Experience with Communications, RF products is desired
• Excellent C/C++ experience and Assembly knowledge
• AVR, Keil ARM Cortex experience beneficial
• Embedded software development
• Linux knowledge required
• TCP/IP experience Beneficial
• Proven ability to multitask
• Ability and willingness to learn
• Good attention to detail, an ability to assimilate, sort and aggregate complex information quickly

Overall Job Purpose:

Responsible for the execution of the Static Equipment Integrity Coordination scope of work, focusing in the Integrity Management Process of the equipment controlled by the MODEC's Own Service of Equipment Inspection, predictive maintenance, process performance and condition monitoring, quality assurance and quality control of subcontractors, and development and improvement of preventive and predictive maintenance plans, in order to ensure and maximize assets reliability, availability, maintainability, safety and integrity (RAMSI), as well as contributing to the Operations procedures and results achievement, established for the business.

Core Responsibilities:

Support the MdB's corporate annual budget planning (expenses and investments), by providing information based on previous experiences, technical knowledge, and best practices of the market.

Contribute to continuous improvement of IMS by following up and filling in projects status and updating and monitoring the implementation of IMS Documents under Static Equipment Integrity Coordination and maintaining the equipment master list updated.

Participate in risk analysis workshops and safety reviews to contribute with Integrity engineering expertise and support the Operations team.

Contribute to the Operation Reliability and its performance (inspection, non-destructive tests), regarding the Inspection Plan and guidelines of the Static Structure Integrity coordination, by monitoring and analyzing inspection results, guaranteeing the traceability of information, performing proper root cause assessments, and providing technical review/recommendation. Furthermore, develop, if necessary, together with the responsible of equipment design, proposal of modifications to prevent or mitigate the deterioration processes.

Contribute to the attendance to the maintenance and equipment inspection policies, regarding to the Reliability Engineering, by applying the guidelines and lessons learned from the Technical management.

Contribute to the compliance with the sector regulation (MPT, SPIE regulation/NR-13, etc.), by developing and executing inspections plans within the Static Structure Integrity coordination scope, focusing on Operational security needs, as well as monitoring KPI`s actions plans and elaborating SPIE reports.

Contribute to fleet performance improvement and safety by analyzing MOCs, TQs, NOIs, performing RCAs/FMEAs etc., and providing technical recommendations to support the Operation team.

Monitor process safety barriers' KPIs and provide technical recommendation, when necessary, to ensure the effectiveness of process safety barriers to maintain the facility's operation within ALARP level. Furthermore, it is extremely important to ensure the verification of the safety devices as safety valves, rupture discs, flare, etc., based on written procedures, in order to ensure safe condition for operation of equipment.

Elaborate technical recommendations or actions plans to meet the Operations needs and feedbacks of the Technical management, Fleet maintenance support, subcontractors, and Operations areas

Support MdB's BID/EPCI process by providing technical review and O&M cost review through bidding team and pre-ops team.

Participate in workshops with offshore inspectors and provide technical recommendations in order to ensure that their work is performed in compliance with contract specifications and legislation.

Sporadic embarkations on the vessels might be required for these activities.

Assist the organization in the external and internal audits by conducting the evaluation and approval of the

documentation requested by the legislation, providing the necessary clarifications regarding the integrity management system and the required evidence related to the controlled equipment. Moreover, record (information traceability) and analyze the audit results, defining or proposing actions to eliminate non- conformities.

Contribute to effective planning and monitoring of shutdown and decommissioning (equipment and offshore unit) plans by defining the shutdown scope (equipment list, NDT exam, tests, measurements, replacements, repairs, or modifications to be carried out) related to controlled equipment, through legal compliance and integrity evaluation.

Organize the activities related to NR 13 / SPIE together with the Equipment Inspectors from the Offshore Units, by including files and documentation, such as official books, calibration certificates, internal and external inspections, inspection reports, hydro-test and carrying out audit in the manufacturers.

Ensure that the information is addressed clearly and objectively so that everyone involved has a full understanding of this information. As well as establishing the integration between the departments involved in order to consolidate the quality of the information flow from the identification to the closing of the deviation and/or improvement.

Contribute to the definition if an equipment has or not condition to operate satisfactorily in order to ensure Operations reliability by participating in decisions or developing technical studies and informing to the involved ones the results of inspection reports, repairs or replacements recommended to restore the physical conditions in satisfactory levels.

Contribute to the hiring of 3rd parties to perform inspections on SPIE/NR13 Equipment and draw inspection isometrics by properly defining Scope of Work and participating in Kick-Off Meetings with potential suppliers.

Ensure the compliance with NR13 / MdB specifications in the fabrication of equipment by attending Hydrostatic Test at Manufacturer Workshop.

Ensure that all equipment is in condition to operate, complying with internal standards, NR13/SPIE specifications, by generating "punch items" lists as outputs of the initial inspections and following up the development of action plans on these lists.

Ensure the proper register of all Pressure Vessels, PSV, Boilers and all others static equipment by developing datasheets and inspections reports and filling in the integrity management software (SGI) with reliable and updated data on this equipment.

Ensure that Integrity Inspectors' and PSV Mechanical Technicians' work is performed in compliance with contract specifications and legislation, as well as complying with NR13/SPIE standards and procedures, by planning and following up the distribution of activities of inspection plans and providing technical recommendations when necessary.

Contribute to fleet performance improvement by constantly cooperating with other Tiers and Modec entities, to absorb and apply all lessons learnt from other Unit Phases (Commissioning, Operation, Maintenance, Decommissioning) for the new vessels in construction, as well as provide new lessons learnt and improvement opportunities discovered during the Pre-Ops project.

Sporadic follow ups in the shipyard during the Construction Phase and visits to vendors' factories might be required for these activities.

HSSE Requirements and Code of Conduct:

HSSE: Act in compliance with the corporate HSSEQ Management System Policy, the MODEC Life Saving Rules, and the policies, guides, process standards and work instructions available in the Integrated Management System (IMS).

Act to promote the preservation of the environment, the health and occupational safety (personnel and their team), the safety of processes, and the preservation of assets in their scale of responsibility.

Ethics and Compliance: In compliance with the Code of Business Conduct and Ethics, as well as with MODEC Group

Ethics and Compliance Policies and Local Procedures, their respective forms, online and live mandatory trainings: is committed to comply with all applicable laws, regulations and obligations and act in accordance with the highest ethical standards and with MODEC values.

Emergency Plan: As per indication on the Training Matrix, Emergency Management Guide and Offshore EmergencyManagement, available in the Integrated Management System (IMS).

Relevant Experience and Qualifications :

Junior Engineer : 2 years of overall experience is expected. Previous experience in Offshore/Onshore Oil & Gas area is a competitive edge. Previous experience in integrity management, implementation / maintenance of SPIE and ISO certificates, and failures analysis is a competitive edge. Previous experience as part of a SPIE technical group is a competitive edge.

Engineer : minimum 4 years of overall experience is expected. Previous experience in Offshore/Onshore Oil & Gas area is a competitive edge. Previous experience in integrity management, implementation / maintenance of SPIE and ISO certificates, and failures analysis is a competitive edge. Previous experience as part of a SPIE technical group is a competitive edge.

Senior Engineer : minimum 7 years of overall experience is expected. Previous experience in Offshore/Onshore Oil & Gas area is expected. Previous experience in integrity management, implementation / maintenance of SPIE and ISO certificates, and failures analysis is a competitive edge. Previous experience as part of a SPIE technical group is a competitive edge.

Engineer Specialist: minimum 10 years of overall experience is expected. Previous experience in Offshore/Onshore Oil & Gas area is expected. Previous experience in integrity management, implementation / maintenance of SPIE and ISO certificates, and failures analysis is a competitive edge. Previous experience as part of a SPIE technical group is a competitive edge.

Well written and spoken english with advance portuguese is required.

Intermediate Microsoft Office package knowledge is required. Basic CMMS systems knowledge is expected (SAP preferred). Basic Power BI knowledge is a competitive edge. Basic SGI knowledge is a competitive edge.

Work Location : 5A Serangoon North Ave 5 Singapore 554574

Job Description:

• Able to work in a flexible, dynamic, fast growing ADG organization which serves customers across the globe and in key markets.
• Candidate will be part of ADG Division, Central Operations Team, in Singapore and will need to collaborate with Front End Fabs in Singapore & Europe, Back End Plants, OSAT's and Division Product Engineering Teams in Europe & Asia.
• Candidate will have to be highly motivated and able to work with colleagues in different countries and collaborate to improve cost, quality & service for ADG Business needs.

Profile:

• Bachelor's degree in Physics, Electrical/Electronic Engineering or Material Science/Engineering
• Familiar &/or having knowledge of Wafer Fab operations, process flows, parametric (T84) & electrical wafer testing (EWS)
• Knowledge in DoE, FMEA, SPC & 8D
• Ability to work/lead cross functional team's

Work Location : 5A Serangoon North Avenue 5, Singapore 554574

The Team

The position is an exciting opportunity to be part of a flexible and dynamic team working in the growing markets of image sensor.

The role works within the IC Digital Design team, forming part of the wider design team in Singapore which includes all disciplines required for implementation of full custom image sensors.

In addition to the many challenges of Digital image sensor implementation, the engineer also shall contribute to tool and flow enhancements, aligning to all our inter-team colleagues across STs Imaging sites (Grenoble and Edinburgh).

This policy of enhancing skills in each field is greatly encouraged and actively pursued during each project for all team members

Job Description:

The position of Digital Verification Engineer requires the candidate to have a strong knowledge in Verilog and/or VHDL.

The candidate requires to have a good experience in digital design or verification of IPs or/and SOC.

Will contribute to all of digital design flow - implementation of IPs/SOC including verification of IPs/SOC.

The candidate must be a team focused and highly motivated individual.

Collaboration with colleagues locally and in the wider design community across the Imaging Division is a key factor for success

Profile:

• Bachelor degree in Electrical and Electronics, IC Design
• Knowledge and understanding of Verilog/VHDL
• Strong Knowledge with leading edge RTL and gate verification techniques.
• Knowledge of UVM is a plus
• Knowledge of System Verilog is a plus
• Knowledge of digital signal processing techniques is a plus
• Good analytical skill
• Excellent interpersonal and teamwork skills

We are a leading automation and industrial solution providers based in Singapore, which has over twenty years of experience servicing global automation companies involved in robotics, motion control and related technologies.

Together with subsidiaries and dealers located in Southeast Asia, India, China, Hong Kong, and Taiwan, we provide total solution for industrial automation needs with our highly complementary products and bridge the high technology to the developing countries in across the Asia-Pacific.

Responsibilities:

- Provide technical support for industry motion controller/PLC/Invertor/servo/stepper products/robotic arm/AGV etc.

- Pre and post sales technical support to customers on product and applications level.

- Provide guidance to customer on products connections, configuration, application, and system testing.

- Able to do cable harnessing, soldering and assembly work.

- Opportunity to participate in the new products evaluation on the latest technologies.

- Able to develop and debug demo/test software IEC 61131(PLC programming) to support customer application program.

- May need to travel overseas for occasional job/training assignments.

Requirements:

- Possess minimum a Diploma/Degree in Electronics/Electrical Engineering/Computer Science

- Excellent troubleshoot, analysis and problem-solving skills.

- Prior experience in PLC/ C/ Scada programming will be advantageous.

- Proficient in using Microsoft Office Applications.

- Fresh Graduate are welcome to apply, as training will be provided.

- Please submit your resume, current salary and expected salary together, we regret that only short-listed candidates will be contacted.

Work Location : 5A Serangoon North Ave 5 Singapore 554574

Job Description:

As an Engineer accountable for the introduction of new product inside the Power
Transistor sub-Group, you will manage the product characterization and
qualification of Silicon MOSFET, IGBT, Silicon Carbide MOSFET, GaN HEMT
and Power Modules.

The job holder will be involved in characterization laboratory activities such as:

• Testing program development and debug.
• Product characterization.
• Engineering DOE evaluation activities.
• Data analysis and reporting.
• PCB design and development.

Profile:

• 3+ years of direct work experience in a semiconductor Final Test environment preferably as a Test Development Engineer.
• Experience/knowledge in new product characterization and qualification.
• Understand the semiconductor manufacturing processes.
• Knowledge of Power Transistor devices (MOSFETs, IGBTs);
• Wide Band Gap technology-based products such as HEMT GaN and SiC Power
  MOSFET is considered a plus.
• Experience with industry standard Automated Test Equipment (Teradyne ETS88TH,
  Accotest STS 8200, TESEC), Power Device Analyzer (KEYSIGHT B1505A).
• Test Software development experience & skills, including knowledge of C/C++.
  Knowledge of statistical method and process control.
• PCB Hardware design knowledge & trouble shooting skills.
• Excellent communication skills as well as detail-oriented work ethic.

1. Knowledge in design, manufacturing, maintenance, and operation of railway vehicles. These vehicles, collectively known as rolling stock, include locomotives, passenger coaches, freight wagons, and other rail-based transportation equipment.

1. Design and Manufacturing:Rolling stock engineers play a crucial role in designing new trains and their components. They oversee the manufacturing process, ensuring that rail vehicles meet safety, performance, and efficiency standards.
   Whether it’s locomotives, passenger carriages, or freight wagons, rolling stock engineers focus on creating reliable and efficient vehicles for rail transportation.
   
2. Technical Problem Solving:These engineers are responsible for resolving technical issues related to rolling stock. They troubleshoot defects, conduct failure analyses, and develop engineering solutions.
   Whether it’s improving reliability, addressing performance problems, or enhancing safety features, rolling stock engineers work behind the scenes to keep trains running smoothly.
   
3. Integration and Modification:Rolling stock engineers supervise the installation and integration of various systems and subsystems within rail vehicles. This includes electrical, mechanical, and control systems.
   When modifications or upgrades are needed, they ensure seamless integration while maintaining safety and compliance.
   
4. Validation and Verification:Before a train hits the tracks, rolling stock engineers validate and verify its performance. They conduct rigorous testing to ensure that all components function as intended.
   From braking systems to traction control, thorough validation is essential to passenger safety and operational efficiency.
   
5. Platform Engineering:Platform engineering involves designing the overall structure and layout of rail vehicles. Engineers consider factors like weight distribution, stability, and passenger comfort.
   Whether it’s a sleek high-speed train or a sturdy freight wagon, platform engineering contributes to the overall functionality and aesthetics of rolling stock.
   

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Responsibility

• Troubleshoot and resolve technical issues related to hardware, software, and networking
• Install and configure hardware and software applications
• Monitor and maintain Cartrack application and systems to ensure their smooth functioning
• Document technical procedures, user manuals, and FAQs
• Provide technical support for any IT related matters or issue
• Train users on the use of Cartrack applications and hardware
• Continuously update technical knowledge and skills

Requirements

• Minimum Diploma/Bachelor in Computer/Electronic Engineering/Telecommunication/Automotive Engineering or related discipline
• Entry level are welcome to apply
• Experience with command line interface (CLI): Bash, Powersell, ect would be an advantage
• Experience with embedded systems would be highly advantageous
• Must have a pleasant personality with high levels of motivation and enthusiasm
• Ability to work independently and as part of a team
• Willingness to work outside regular business hours as required

Required Advanced NDT methods qualified Level III engineer to take care of NDT teams & advanced NDT team and provide Support in different projects in ExxonMobil, and other clients .Your role will be directly involved with technical and client relationship aspects to ensure smooth project flow.

Roles & Responsibilities:

· Perform and coordinate PAUT/TOFD inspections ,ACFM / ECT inspection..

· Perform and coordinate RT ,DRT , ARC PMI , PMI (XRF), UTG, MT, PT, MPI , UT , UTG.

· Follow up on technical issues ability to carry out root cause analysis and provide corrective and permanent solutions to clients.

· Frequent On-site visits to Operations facilities to review job scopes and recommend assuring the optimum results are achieved from the NDT service.

· Conduct training programs for Level I and Level II individuals in the specific NDT methods.

· Review and approve company and third-party NDT Procedures.

· Witness / Perform welding activities, NDT activities.

· Coordinate NDT activities during on-stream and shutdown inspection and supervise NDT jobs performed by the Contractor.

· Radiography Film Interpretation according to the National and International Standards.

· Evaluation of advanced NDT Equipment specification and implementation of special NDT techniques and maintain NDT Documentation. Supervise NDT Technicians and develop their ability to become fully qualified technician.

· Prepare reports and the results of examinations are maintained.

Requirements:

· Degree/Diploma in Mechanical Engineering or equivalent with ASNT Level III in RT , MT , PT , UT , ET , VT , PCN/ CSWIP and PCN Level 2 in PAUT & TOFD qualifications.

· Must have a minimum 03 of working experience in handling NDE Procedures , Singlas / ISO 9001

· Experience in the maintenance and operations and hands trouble shooting ability of NDT equipment and software.

· Must have NEA L6 or L5 Licences & Driving license.

· Good technical knowledge of NDT, PAUT & TOFD and ASNT Level III certification.

. Able to work independtly and can work under tight deadlines as per Client requirement.

. Able to Work with commitement and dedication as Priority.

• Preparing sketches and blueprints
• Supervising Interns
• Communicating or negotiating with contractors and tradespeople
• Overseeing or leading presentations
• Visiting job sites to monitor progress
• Attending meetings with clients
• Offering solutions during the building process
• Putting together proposals for projects

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are seeking a well-rounded data engineer to join our team. As part of the Global Post Market Quality and Data Analytics team, you will play an integral role in processing consumer feedback through data quality assurance, data modelling, data integration and automation. Under a diverse team, you will have a plethora of opportunities to work cross-culturally and cross-functionally to streamline data processes.

What you will do

• Build and maintain data pipelines for efficient data movement. Use ETL processes to extract and store data from various sources and transform it into a clean and usable format.
• Develop and implement data models to support business intelligence, reporting and analytics requirements.
• Integrate data from different sources (internal/external) to provide a unified and comprehensive view of the data.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data. Identify and address data quality issues.
• Write scripts and use automation tools to streamline data processes and workflows.
• Collaborate with stakeholders within and outside of the team to understand data needs and streamline data.

What you bring

Experience

• Bachelor's degree in Data science, Computer Engineering, Computing, IT or any other related field.
• 3+ years of relevant working experience in data roles.
• SQL, Power BI and Advanced Excel knowledge required. Proficiency in other programming languages is a plus.
• Familiarity with integrating data sets from various systems, identifying gaps and presenting visualized data using Power BI.
• Able to handle structured data from various sources and formats (e.g.: from customers and operations), such as complaints and returns.
• Basic knowledge in quality processes (medical device industry) is a plus.

Personal competencies

• Great team player and good communicator. Able to break down complex concepts in a simple and clear manner.
• Responsible with a good sense of urgency.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Work Location : 5A Serangoon North Ave 5 Singapore 554574

In a context of significant growth, we seek for a talent and semiconductor/power testing passionate!
You'll join a multi-site product and test engineering team responsible for power discrete SiC (Silicon Carbide) diode portfolio. The SiC rectifier division core team is in Tours (France). For this position, you'll be based in Singapore and your role will be to support the division for the development of those high-performance rectifiers and the constant quality improvement plan: from wafers start in the flow up to the final test on diode housed into the package.

Job Description:

• The review with local teams of the industrial changes impacting SiC diode production and participate to qualification plan definition, data analysis and milestones deliverables following quality standards and customer requirements.
• Follow up all the engineering materials (technology/new product/industrial changes related) running in clean room (diffusion & EWS) to track their cycle time, to schedule the testing and the analysis, up to the disposition for back-end activities (assembly/final test trials)
• Project leader for the execution of the electrical wafer sorting roadmap for SiC diodes to use the most advanced test equipment and advanced test solution.
• The analysis of electrical wafer sorting data for non-conform material and lead the board to propose most relevant disposition based on non-conform material analysis to build and sustain a data base of the either process or electrical signature and address the issues by a plan defined with a cross functional team.
• The development of statistical based routine to better detect outlier device.

The perspectives around Silicon Carbide are tremendous and will allow you to evolve in a very dynamic and fast-paced world of power devices. This job means a lot of interactions between Singapore, Tours and Catania in a multidisciplinary team.

Profile:

• A wide set of technical skills are required: Project management, Front end and Back end process, industrialization, electrical test, statistical analysis.
• Soft skills are key for efficiency: communication, synthesis, flexibility, team spirit, reactivity & sense of urgency, customer focus, and problem solving.

Roles and Responsibilities:

• Assist Senior Engineers and PM on the progress of the project.
• Assist in QAQC inspection
• Ensure the safety on the area that you are in charge with the assistant from the safety department
• Supervise the subcontractor work to make sure that the method and material use is approved
• Attend Progress Meeting, Coordinate with the contractor, suppliers on all project implementation issues and attend site meetings when required
• Site Work Inspection on work progress to ensure quality control in accordance to meet authority requirements.
• Coordinate internally with inter-department and externally with clients & consultants
• Coordinating for the project planning, documentation and execution of works on site
• Coordination, supervision & monitoring the progress of the project works on site, manpower mobilization, materials planning & ordering
• Coordinate for all submission
• Produce weekly site progress report and necessary submission

Requirement:-

• Minimum degree in civil engineering from recognised universities
• Experience in Building Construction Projects (Private Condominium/HDB Preferred)
• Able to work under fast paced environment
• Willing to learn
• Experienced candidates may be considered for more senior positions

Deskside/Desktop Support Engineer

We are looking for experienced junior and senior full-time deskside engineers to provide End User Computing or Deskside support to Multinational companies in Singapore.

Job Responsibilities & Requirement:

Primary

• Provide level 2 End User Computing support and well verse in Windows OS
• Good Hardware and software troubleshooting skills for PC.
• Break fix and IMAC support for end user deskside equipment
• Basic troubleshooting skills for IOS and android devices.
• Handles asset and peripherals inventory management.
• Meeting room and AV equipment knowledge.
• Provide smart hands support for networks and servers
• Able to support off hours or require to perform ad hoc duties as and when needed
• Familiar with Service Desk ticketing systems and process.
• VIP support
• Able to support off hours or require to perform ad hoc duties as and when needed

Job Requirement:

• Diploma/Bachelor’s degree in computer science / information technology or relevant field.
• Proven work experience as a desktop support engineer or support technician.
• At least 3 years of IT deskside support experiences for junior level.
• At least more than 6 years of IT deskside support experiences for senior level.
• A good team player.
• Excellent interpersonal skills.
• Customer centric and focus on service excellence.
• Excellent problem-solving and multitasking skills.
• Good verbal and written communication skills and ability to interact with other teams.

It would be appreciated if you can share with me your interest on the same.

Have a friend or family member who may be interested in taking the next step in their career? Help them out by referring them to Ennovatez.

You can email your resume to us at [email protected]

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.

The Role

SIA-NUS Digital Aviation Lab at the National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Engineer in Work Package 4. The work package focuses on developing innovations in the following key strategic areas related to passengers’ inflight experience, mainly in Enhancements to SIA’s Cabin Seat Product Offerings, Novel Features for SIA’s Next Generation Aircraft Cabins for Sleep Improvement and Pushing SIA’s Superior Customer Experience to New Heights with an Advanced Connected Cabin.

The duties and responsibilities for this role includes collaborating with other team members (which includes Software Engineers, Hardware Engineers, Data Analyst and Industrial Designer) in the WP and the Corp Lab . The candidate would be tasked to help to formulate and publish papers for the project and develop the Behaviour Science related work that team is working on.

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Engineer who has:

• Bachelor’s Degree in Industrial Design or Psychology
• Ability to synthesize research findings, uncover and articulate insights that will inform and inspire design.
• Ability to translate filter insights and translate them into design concepts, an products and services.
• Strong communication skills.
• Previous track record in publishing papers in journal will be a plus.

Others:

• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment

About Us

NUS, Singapore’s flagship university, and SIA, Singapore’s flagship carrier, jointly established a 5-year SIA-NUS Digital Aviation Corporate Laboratory (Corp Lab) to create and commercialise innovative technologies that could accelerate the digital transformation of Singapore’s aviation sector and redefine the air travel experience.

To emerge ahead in today’s digital transformation era, SIA and NUS will jointly target Revenue Management & Dynamic Pricing (for smart data-driven optimization), Transforming Competency and Skill Development (for intelligent and personalised pilot and cabin crew training), Employee Wellness (for data-driven and scientifically-backed improvements to workforce safety, performance and productivity), and Passenger Comfort, Sleep and Cabin Service (for next-generation product offerings and unparalleled customer service within the cabin).

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.

100 Experiments (100E) is AI Singapore’s flagship programme, set up to help companies solve their real-world business problems by building custom AI solutions consisting of machine learning and deep learning models, and end-to-end pipelines that are ready for deployment.

Our solutions cover computer vision, NLP and general ML, such as object detection for autonomous vehicles, question-answering AI for education chatbots, and fraud detection for insurance.

We are expanding our team to meet the growing demand for AI solutions and talent in the market.

Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity. We highly encourage our staff to centre their work around innovation.

You will join a passionate group of people who are inspired by the opportunity to work on AI problems and be part of the team to lead the growth of the sector in Singapore.

Duties & Responsibilities

The AI Technical Presales Consultant is responsible for scoping and defining AI projects with potential clients before they are executed by our AI engineering team.

The role is a mix of technical and business, and is suited to candidates who enjoy meeting clients, discussing their problem statements, consulting with them on technical solutions, and performing some hands-on data investigation.

The position is essential in helping to assess the value proposition and technical feasibility of potential AI projects, and ensuring the scope is achievable within the time frame. This maximises the chances of success for the client and AI Singapore.

• Together with the business development team, participate in requirements-gathering discussions with companies, applying design thinking to distil their problem statement and pain points.
• Assess whether an AI solution is required. Translate and narrow down the problem statement into specific AI solution requirements.
• Conduct landscape and literature reviews to understand the potential solutions and models in the market.
• Advise clients on data requirements for the AI model in terms of volume, diversity, relevance and quality.
• Evaluate their data readiness level by doing hands-on investigation with sample data, including exploratory data analysis and building a simple baseline model.
• Align with them on an appropriate scope that balances their requirements vs the project timeline.
• Where required for research-focused projects, liaise with a Principal Investigator within the AI research community in Singapore to propose a solution.
• Prepare a proposal document to be submitted to AI Singapore and National Research Foundation senior management for endorsement of the project.
• Brief the designated AI engineering teams on the approved proposals and hand over the requirements to them for delivery.
• Support AI Singapore’s industry and community-building activities by contributing to talks, seminars, article writing, and other outreach programmes.

Qualifications

• Degree in a quantitative field is preferred, but not mandatory.
• 2+ years of experience in developing AI/ML solutions in a corporate or research setting. Solutions that have been deployed into production will be viewed favourably.
• Some hands-on skills in Python-based AI/ML frameworks, specifically PyTorch, TensorFlow and scikit-learn.
• Good understanding of machine learning/deep learning fundamentals and common algorithms for computer vision/NLP/tabular data.
• Knowledge of techniques and developments in the area of Generative AI.
• Previous experience in technical presales, product management or project management in a technical/IT role will be an advantage.
• Strong communicator who enjoys interfacing with clients, is comfortable thinking on one’s feet and is able to negotiate skilfully.
• Able to abstract and convey technical concepts to non-technical audiences well, including senior management.
• Strong interest in how technology is applied to solve business problems.
• Self-learner with a strong sense of curiosity and attention to detail.

AI Singapore firmly believes in the ethical and responsible development of AI. Selected candidates are expected to adhere to these values and goals in the course of their work.

Candidates with more experience and higher qualifications will be considered for the position of Senior AI Technical Presales Consultant.

Overall Job Purpose

To independently define concepts and critical deliverables, plan, manage, direct, control, approve and deliver engineering deliverables required in multiple projects effectively and efficiently according to specified technical requirements, timelines and budget, manage project resources and independently deal with and resolve all Process related technical issues of the project, and provide guidance to the assigned teams.

Core Responsibilities

• Understands the specific technical requirements of the assigned projects (may include Construction, Commissioning and Offshore assignment) and Industry Standard, Classification Society and Regulatory requirements.
• Plans and directs the running of application software such as process simulation and other in-house software programs for Safety valve sizing, control valve sizing and line sizing etc., exposure to dispersion and transient analysis software, reviews and approves the calculations / deliverables prepared by Engineers /Senior Engineers/Lead Engineers.
• Directs other Engineers in the team to develop engineering specifications (drawings, data sheets, etc) specific to the assigned projects, reviews them and validates with the Project Managers and client before incorporating them in the RFQs.
• Independently evaluates bids received for special process packages from suppliers, performs or directs others to perform a technical bid evaluation process, involves in cost estimation, ensures selected vendors meet technical/engineering and delivery requirements as stipulated in the project specifications and gives assessment to the Buyer who will follow up in the tender evaluation, price negotiation and award process.
• Approves drawings and documents from team members as well as 3rd party-generated study reports and ensures the timely provision of accurate documents and specifications to the vendor/sub-contractor to enable thee to execute their work and deliverables.
• Independently manages/develops/provides advice on solutions to technical/engineering and related issues by reviewing the issues/data and analysis and evaluating various options/measures using expert knowledge, seasoned experience and precedents and professional references where necessary.
• Reports any deviation from MODEC standard specification and practices, concept change to Department manager and seek his approval on the solution.
• Anticipates potential problems and takes preventive actions and independently handles variations in project execution. Develop unique solutions for complex technical problems that may include new design concept.
• Visits critical process suppliers, checks and tests process items to ensure that they function as per specifications. Where necessary, works with the concerned suppliers/contractors to rectify the issues and ensures that they comply with the specifications and are ready on time.
• Leads/participates in meetings, reviews progress of projects and addresses complex interface/implementation/execution issues to ensure that the project proceeds timely and smoothly.
• Independently evaluate the Process requirement for all packages in Marine & Topside, contributes to technical bid evaluation process, ensures selected vendors meet technical/engineering and delivery requirements as stipulated in the project specifications
• Reviews progress of projects and addresses complex interface/implementation/execution issues to ensure that the projects proceed timely and smoothly.Plans and organizes resources and schedule.
• Provides technical/engineering support and expert advice to Construction/Commissioning, Offshore work at site, directs trouble shooting and follow up actions to rectify the gaps or problems. Handles more complex issues, and where necessary, provides off-site support and advice.
• Independently prepares Facility startup procedures, finalizes with Operations team input and provides expert advice / guidance / trouble shooting for facility startup at Offshore
• Guides/supervises junior Engineers and provides feedback to Department Manager for their performance.

Requirements:

• Minimum 15 years of relevant working experience in Process engineering in oil and gas sector for degree holders or minimum 14 years of relevant working experience for Master degree holder. Direct work experience on FPSO/FSO projects, min 3 projects of mega size, and market practices in the oil and gas sector.
• Must be conversant with the applicable industry standards, Company standards, specifications and procedures for his/her functional area.
• Language(s) and Software: List any special language requirement besides English and also any fundamental software skill(s) required by this job.

1. MS Office
2. AVEVA Engineering
3. Process simulation (e.g., UNISIM Design, etc.)
4. Flare system hydraulics (e.g., UNISIM Flare, etc.)
5. Piping system transient analysis and hydraulics (e.g., Flowmaster, etc.)
6. Fire water system hydraulics (e.g., Pipenet, etc.)
7. Separation vessel performance (e.g., MySep, etc.)

Type of Employment: Contract (6 to 12 months, with potential for extension)

This position entails the development, maintenance, and optimization of our IT infrastructure, with a strong emphasis on cloud infrastructure management across platforms like AWS, Azure, or Google Cloud Engine. The ideal candidate will have substantial experience in DevOps practices, cloud infrastructure management, and a track record of handling complex IT systems.

**Key Responsibilities:**

- Develop and optimize the company's IT infrastructure, with a focus on cloud services in AWS, Azure, or Google Cloud Engine.

- Implement and manage continuous integration and continuous deployment (CI/CD) processes.

- Monitor and ensure high performance and reliability of the system infrastructure.

- Work closely with software development teams to align IT infrastructure with project requirements.

- Manage and secure cloud-based environments, ensuring compliance with industry standards.

- Stay updated on the latest trends in DevOps, cloud services, and related technologies.

**Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, IT, Software Engineering, or related fields.

- Extensive experience in DevOps methodologies and practices.

- Proficiency in cloud services and infrastructure management, particularly in AWS, Azure, or Google Cloud Engine.

- Knowledge of a range of DevOps tools (e.g., Docker, Kubernetes, Jenkins, Ansible).

- Strong scripting and automation skills.

- Excellent problem-solving capabilities and attention to detail.

- Fluent in English for effective communication.

- Ability to collaborate effectively in a fast-paced and evolving environment.

The Software Engineer will participate in the design and development effort for a new software system of a medical device. This is an opportunity for the candidate to apply cross-functional skill sets, creativity and experience in programming, robotics, machine learning or control systems to solve exciting product development challenges. The candidate will help to develop the software, algorithms, and interfaces to realize the functionalities of a robotic surgical system.

Responsibilities:

• Design, develop and maintain the GUI and the functionalities of the robotic software application.
• Develop and test the interfaces between the software and hardware for the robotic surgical system.
• Collaborate with interdisciplinary R&D team to implement algorithms on robotics, image processing, signal processing, etc.

Qualifications:

• Bachelor or master’s degree in computer science, electrical engineering or related field.
• All levels are welcomed.

Nice To Have:

• Experience with QT framework.
• Experience with VTK (Visualization Toolkit), including visualization of 2D images & 3D model, Coordinate transformations, etc.
• Experience in Linux, medical device, ROS, image processing, CUDA, machine learning, Robotics, etc.

We are seeking a highly skilled Site Reliability Engineer (SRE) with a strong background in maintaining self-hosted Kubernetes clusters, where your primary focus will be on ensuring the stability and reliability of our production environment. Ensuring a smooth running infrastructure supports the work of our AI researchers as it provides them a steady and dependable platform.

Job Description

• Work closely with AI researchers to understand their workflow and infrastructure needs, optimizing the cluster configurations accordingly.
• Implement monitoring, alerting, and self-healing systems to ensure high availability and performance of the clusters.
• Collaborate with development teams to design and implement best practices for infrastructure as code (IaC).
• Drive automation initiatives to reduce manual toil and improve system resilience and scalability.
• Document system design and procedures, provide guidance for researchers on our cluster advance usage.

Job Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or related fields.
• Proven experience in managing self-hosted Kubernetes clusters in a production environment.
• Strong understanding of containerization, orchestration, and the Kubernetes ecosystem.
• Familiarity with AI workflows, machine learning/deep learning research background is a plus.
• Proficiency in at least one programming language (e.g., Python, Go) and scripting skills for automation.
• Good working attitude, problem-solving, critical thinking, and communication skills.

Responsibilities:

• Understand the process and practices related to GNC support Templates and Standard Operating Procedures
• Ownership on critical incidents for customers to deliver resolution with in SLA.
• Perform IOS upgrades and patches to fix software and ensure that the environment is bug/vulnerable free by keeping system with up-to-date software.
• Troubleshoot production issues and network/security problems to fix any infra related issues and work with principal vendors and customer to provide the resolution within the proposed timelines.
• Performing RMA for hardware failures and replacement in production environment
• Perform health checks for the critical environments and ensure the systems running up to the standard and no potential failures.
• Setup staging and simulation for customer activities for critical jobs before actual tasks in production environment.
• Working in 24/7 operations centre and standby role for after office hours support on monthly rotational basis
• Able to follow and meet customer SLA for all the incidents and requests / responsible for the service delivery
• Undertake escalation for Enterprise Networking related matters from level 1 helpdesk engineers, perform level 1/2/3 on site troubleshooting and hardware field replacement works for customers.
• Responsible for updating technical documentations for configuration changes made via helpdesks and/or managed services customers.
• Responsible for opening and closing of support tickets when applicable and providing timely updates to helpdesk personnel and customer for support cases that has been allocated to you

The Individual and their Experience:

• Knowledge of ITIL principles, particularly Incident, Change, Problem and Service Management
• Minimum 2-3 years of relevant experiences in network operations including network, wireless, security technologies.
• Experienced on working with vendors and customer on outage situation and provide direction to juniors and customer on recovering services affectively.
• Hands on experience in operations and BAU for fixing user/infra issues in production environment is essential.

By submitting your application, you would have deemed to have given consent and have read through the DP notice for Job Applicants here: https://ap.logicalis.com/sites/default/files/2022-10/PIMS-A7.3-01%20Attachment%20I%20DP%20Notice%20for%20Job%20Applicants_updated9sept22.pdf

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre jointly established by the Singapore Polytechnic and the Singapore Maritime Institute. It collaborates with the maritime industry and research community to develop innovative digital solutions and training systems to enhance maritime safety, through state-of-the-art research facilities at CEMS, such as South-east Asia's first navigation research simulator.

The appointee will be part of the CEMS AI team in developing machine learning models, analytics capabilities in big data infrastructure, and conducting data science studies for SP. The resulted work will be used to enhance simulator training and assessment, innovate in training pedagogy and develop digital technologies for the maritime industry.

Responsibilities:

• Design research methodologies to develop AI algorithms and models. This includes designing and conducting experiments, as well as the implementation of the developed tools, systems and applications
• Build, organize, and maintain effective and efficient data infrastructure
• Build and develop data analytics capabilities in big data and conduct data science studies for SP
• Strengthen industry partners engagement in co-developing and adopting new technologies and new initiatives
• Collaborate with simulator technologist to develop and deploy AI solutions to enhance simulator capabilities in training and assessment
• Oversee awarded industry projects and ensure key milestones and project deliverables are met
• Conceptualise research proposals and present research concepts and ideology to senior management

Requirements:

• Relevant qualifications in Computer Science or related disciplines
• Relevant working experience and good knowledge in at least two of the following areas: 1) Natural Language Processing 2) Speech Recognition 3) Computer Vision
• Proficient in one or more programming languages such as Java, Python, C#, or C++
• Familiar with machine learning frameworks such as Tensorflow, PyTorch, or Keras
• Excellent communications and interpersonal skills and possess the ability to influence and engage effectively with various stakeholders
• Ability to work in a fast-paced environment
• Analytical and meticulous individual who can think strategically that align with SP and national agenda in maritime safety
• Previous experience in data science, including data analytics, data visualization, and statistical analysis, is a plus

Successful applicant will be offered a 2-year contract in the first instance.

If you are shortlisted for the position, you should hear from us within 30 days of the closing date of the advertisement.

Responsibilities:

· Lead a sizeable team of network engineers to deliver on large scale complex project successfully and seamlessly ensuring profitability, cost effectiveness, high quality standard and customer satisfactions

· Must have strong technical hands on experience in implementation

· Provide technical advisory to the team members

· Liaising with external vendor for training and team development align to company’s technology focus

· Monitor overall project technical progress and health

· Tailor processes to meet specific needs of project

· Responsible for project development plans

· Review project technical plans

· Manage the proper assignment of technical resources during different project timelines.

· Have vast experience in networking solution & products implementation: Routing, switching, wireless, network management, load-balancing, SDWAN, software-defined networking solution like Cisco SDA, ACI, NSX-T

· Documentation for project requirements

· Work closely with the presales team to support tender bidding process in providing professional service sizing and crafting the scope of works and deliverables

· Oversee the submission of all technical documents

· Ability to cope under pressure

Requirements:

· Degree in Computing or Engineering discipline

· CCIE (Routing & Switching)

· Well-versed in solution architecture design

· Understand the system integration and quality process

· Experience in managing a team of security engineers.

· Possess resource management skills

· Possess good communication skills and able to relate well to others

· Strong analytical, problem solving, communication and interpersonal skills

· At least 10 years’ experience in project deployment for complex network infrastructure for campus and data centre/cloud, including at least 3 years in a technical managerial position

· Working knowledge with MS Visio

· Basic knowledge on network security like firewalls, IPS, IDS and NAC

· Working Knowledge in Coding/scripting (Ansible, Python, YAML etc) (Good to have)

By submitting your application, you would have deemed to have given consent and have read through the DP notice for Job Applicants here: https://ap.logicalis.com/sites/default/files/2022-10/PIMS-A7.3-01%20Attachment%20I%20DP%20Notice%20for%20Job%20Applicants_updated9sept22.pdf