Total 19,855 telecommunication engineer job vacancies in Engineering category in Singapore

About Us: PAPE Engineering is an Independent Engineering consultancy Firm specializing in engineering services, expertise and basic & detail design to major Oil & Gas Companies and T&I/EPC contractors for offshore facilities.

Position Overview: We are seeking a skilled Structural Engineer to join our dynamic team andperform structural analyses activities for the loadout, transportation and installation of offshore platforms (jacket, topside) for our various clients (EPIC Contractors, Offshore Installation Contractors, Oil Majors). The ideal candidate will be proficient in using SACS as well as Finite Element Analysis (FEA) software and possess a solid understanding of relevant design codes and class regulations.

Key Responsibilities:

• Structural Integrity Studies: Perform structural integrity studies for offshore structures during pre-service, ensuring safety and compliance with relevant standards.
• Transportation Engineering: Design grillage and seafastening design, including barge underdeck strength checks, ensuring compliance with project specifications.
• Installation Engineering: Conduct lifting analyses, rigging calculations, lifting point local checks, barge outfitting design, piles driveability assessments, and miscellaneous installation aids design.
• Coordination: Work closely with draftsmen to prepare accurate engineering drawings and specifications.
• Report Preparation: Prepare detailed engineering reports and follow up on client and class comments to ensure compliance and project alignment.
• Structural Verification: Perform Finite Element structural verifications for a range of structures, from simple steel assemblies to complex mechanical systems, including nonlinear behavior analysis (contacts, pre-stressed elements, etc.).
• Client Interaction: Communicate effectively with clients to address queries and provide updates on project status.
• Quality Assurance: Ensure all engineering activities adhere to company quality standards and regulatory requirements.

Requirements:

• Bachelor’s degree in Mechanical, Civil, or General Engineering from a reputable university. A post-graduate degree or additional qualifications are advantageous.
• 5+ years of experience in structural engineering, with a focus on offshore and subsea structures.
• Proficiency in engineering software such as SACS, STAAD PRO and Finite Element Software ANSYS/ABAQUS/ISYMOST/NSO
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication and teamwork abilities, with the capacity to collaborate effectively in a multidisciplinary environment.

How to Apply: Interested candidates should submit their resume and cover letter to [email protected] by 15 November 2024

Job Description & Responsibilities:

• Design, develop, and test New CNC controller software and hardware.
• Select New CNC Controller from different makers.
• Integrate CNC controllers with various machine tools and equipment.
• Develop and optimize motion control algorithms for precision machining.
• Collaborate with cross-functional teams to ensure seamless integration and functionality.
• Troubleshoot and resolve issues related to CNC controllers and machine performance.
• Ensure compliance with industry standards and safety regulations.

Job Requirements:

• Minimum Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or relevant discipline
• At least 5 years of experience in CNC controller development, programming, and integration.
• Experience with motion control, servo systems, and feedback devices.
• Experience in usage of NC cycles and providing solution to users.
• Basic knowledge of electrical design & understanding of electrical circuits.
• Specialized training or certification in CNC controller development is a plus.
• Experience with multi-axis CNC machines and advanced motion control algorithms.
• Previous experience in developing user interfaces for CNC controllers.
• Proficiency in programming languages such as C/C++/C# and PLC programming.
• Strong understanding of CNC machine architecture and control systems.
• Familiarity with communication protocols (e.g., Ethernet IP, Modbus).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Ability to work independently and in a team environment.
• Ability to work in a manufacturing environment and perform hands-on tasks as needed.

Responsibilities:

·Plan, execute, monitor and assist in the installation and ongoing support and maintenance of all hardware, software and networks in project delivery

·Conduct root cause analysis & implement pro-active measures

·Responsible for supporting operational systems satisfying contractual Service Level Agreement

·Perform and manage routine preventive maintenance and operational activities promptly and effectively

·Perform troubleshooting and fault rectification

·Provide up-to-date project documentation and reports

·Diagnose and rectify technical issues

·Perform standby duties if required

Requirements:

·Experience in Windows server OS, Unix/Linux OS & virtualization environment (VMware, HyperV etc.)

·Strong troubleshooting skills and analytical mind with problem-solving aptitude

· Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment

·Pro-active, dynamic and with good analytical/conceptual thinking

·Able to work independently as well as in a team and good interpersonal skills

·Good Working knowledge with VPN, firewall appliances would be an advantage

·Good working knowledge with routers, switches would be an advantage

·Good working knowledge in hardware like servers, storage area networks (SAN), network-attached storage (NAS) devices

•Experience in hardening of OS, system and network equipment

•Experience in Patch Management

•Good Knowledge of IT Infra services like Active Directory, DHCP, DNS, Exchange/Mail Service, Database, Web or App Server etc.

·Entry level candidates are welcome. Candidates with more/ complexity of experience will be considered for a senior role.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Responsibilities

1. Responsible for research and development of image generation technologies, including the development of foundational models for text-to-image generation, image editing techniques, image enhancement, and multimodal generation of text and images.

2. Keep up with the latest advancements in AIGC algorithms, be responsible for the research and development and engineering implementation of related technologies, and accelerate the adoption and optimization of cutting-edge AIGC technologies in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• A Master's or Doctoral degree in computer vision, pattern recognition, machine learning, or related fields.

• Some work experience in computer vision, deep learning, machine learning, computer graphics, etc, familiar with mainstream models and algorithms, and capable of following up and implementing new algorithms.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Priority will be given to candidates with experience in GAN-related image generation and editing, video editing, style transfer, portrait editing, etc.

• Priority will be given to candidates with experience in Stable Diffusion, ControlNet, DreamBooth, LoRA, etc.

• Priority will be given to candidates who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

• IT Industry
• Monday to Friday 9 AM - 6 PM
• Working Location: Clementi
• experience in IT industry providing network support

Job Description

• Manage post-sales activities for Cybersecurity and Network Performance Monitoring products.
• Lead large-scale project implementations locally and regionally.
• Provide on-site services, including testing, deployment, and documentation.
• Deliver technical support to ensure customer satisfaction.
• Troubleshoot and resolve customer queries using existing knowledge bases.
• Be on standby for 24×7 maintenance support calls.

REQUIREMENTS:

• Bachelor's degree or Diploma in Cyber Security, Computer Science, Computer Engineering orrelated field
• With system administration experience (Solarwinds) or basic networking knowledge (Gigamon).

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to submit your resume.

We regret only shortlisted candidates will be notified.

Stafflink Services Pte Ltd

EA Licence No.: 04C4294

EA Personnel: Tiang Wan Ying

EA Personnel Reg. No.: R1767473

Responsibilities

1. Design & build the industry-leading recommendation system, promote & verify the performance

of recommendation algorithms.

2. Develop state-of-the-art machine learning models to solve problems

3. Understand product objectives and machine learning techniques, improve model and

recommendation strategy

4. Understand user behaviour and apply Machine Learning algorithms to optimize product

experience and business value.

Requirements

• Master's or doctorate degree in computer science, mathematics or related field.

• Skilled in Python C/C++ or other languages

• Master commonly used recommendation algorithms and machine learning algorithms have the

experience of recommending, advertising, or search algorithms.

• Excellent communication skills and teamwork skills.

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Position Summary:

The Workload Automation & Scheduling group is responsible for engineering and support of the Workload Automation IT infrastructure for Visa Inc. and VisaNet via Vendor Tools and Homegrown Web Application Utilities. The team is responsible for all technical aspects of design and build for the Workload Automation lifecycle from project initialization, system installation, application test & build and maintenance, operational support to application and system decommissioning. This role is an Advanced SME individual contributor role responsible for identifying and resolving issues of moderate to high complexities to do with Visa’s Workload Automation Scheduling, VFT/MFT. This position is at a professional level and requires strong execution and analytical abilities to diagnose, mitigate and resolute small to highly complex events. This role works independently and receives minimal guidance providing out of the box solutioning, innovation and keeping up with the latest industry innovative workload automation processes.

RESPONSIBILITIES:

• Engineer, Design and build new application services from PD within Workload Automation Tools (BMC Control-M & Broadcom ESP)
• Excellent Problem Determination skills to ensure mitigation time is kept to a minimum in meeting SLA and uptime expectations.
• Strong experience with Agile development incorporating Workload Automation tool / Batch processing into Full CI/CD technologies such as GIT, Maven, Jenkins, Chef, Sonar, JUnit, Mock frameworks. To ensure version control is followed.
• Perform installation and support for the Workload Automation platform running on Linux and Prostgress DB systems with the help of IRE and vendor’s engineers to ensure patch level are current and we’re clear of any vulnerabilities.
• Advance understanding to write and integrate into WA tools scripts for automation in the following languages as well new technologies NodeJS, MVS JCL & REXX, HTTPs API, JSON, Python, HTML, XML, Shell and JavaScript.
• Proactively work with Ops PRE, PD and or vendors to provide a resilient, flexible and fit for purpose solution around Workload Automation for Visa’s & M&A’s internal and external customer resolving issues and system problems. Gather requirements set up meeting internally as well as with our vendors to engineer solutions.
• Consulting with and supporting capacity planning efforts to ensure our tooling has the capacity to manage the workload executed via those tools.
• Provide 24X7 production support of Visa operations. Requires on-call rotational support for geographically dispersed data centers.
• Ensure that all server deployment follow Visa security guidelines and report any non-compliance for the Workload Automation Platform.
• Communicate and work cordially in global team with teammate from different culture and in time zone.
• Manage workload and escalate to appropriate Engineers and manager, as needed.
• Work with other support, development, and user groups to manage requests from the perspective of automation and BRP failover design and functionality. Implementing a Red Button solution as well as engineering self-service solutions.
• Work with vendors on software issues and problems as needed.
• Basic use of documentation tools, such as Microsoft Project, Microsoft Excel, and Microsoft Power Point.
• Assist with the WA engineers to set up working sessions with technical leaders and users from all levels to promote the Workload Automation capabilities to ensure teams have appropriate knowledge and expertise of Visa’s Batch processing strategy.
• Act as Change Coordinator to Process, Assign and Report Enterprise tooling changes assigned to Gsched & Workload Automation working with Ops, Project Management & Product Development groups.
• Provide guidance for Junior & peer engineers on technical knowledge and processes.
• Participate with Sr. Engineers in setting up product demo sessions with the Vendor and internal ATC’s & PD Architects

Qualifications

Basic Qualifications & Skills

• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Must have strong knowledge of Workload Automation Tools (Control-M & ESP)

Preferred Qualifications & Skills

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Strong working knowledge of Linux , Windows, Mainframe & Tandem operating systems
• Strong working knowledge of Workload Automation Tools (Control-M & ESP)
• Strong Ability to write scripts for automation. Windows/Unix/NodeJS/MVS JCL & REXX/API/JSON, Python, HTML, XML, Shell and JavaScript.
• Strong working knowledge of Databases, Java, JavaScript & Hadoop. (Execute DB queries to extract data from a Postgres DB, Strong ability to review and understand Java, JavaScript & Hadoop on Scheduling Definitions to resolve or provide solutions for verbalized Job Names & Date Parameters)
• Strong ability to apply Project Management Skills
• Advanced knowledge of Workload Automation Scheduling experience is required (Requires that the individual has at lease 5+ years of Workload Automation Scheduling Experience as well as Tool Admin experience)
• Experience with installation, maintaining, and implementation of code and vendor software.
• Working knowledge of documentation tools, such as Microsoft Project, Microsoft Excel, and Microsoft Power Point.
• Ability to work with management and users from all levels of knowledge and expertise.
• Must exercise a reasonable amount of independent judgment under minimum supervision.
• Ability to assess and analyze technical situations and provide viable alternatives with Strong problem determination skills
• Meticulous and experience in supporting critical systems, and can work independently.
• A keen interest to learn new skills and technology through online resource.
• Additional Information
• Significant (3 or more years) systems engineering or programming experience.
• 5 or more years total Information Technology experience.
• Team player with strong communication skills.

• Well Established Company
• Basic $4000 - $5500 + Allowance + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong East
• Working Days: Monday to Friday
• Working hours: 8.30am to 5.30pm
• DCS | PLC | SCADA

Job Responsibilities:

• Understand / develop technical design specification / requirements and associated document relevant to project
• Develop system database, control logic and graphic according to project design
• Conduct Factory Acceptance Testing and System Commissioning on site
• Product test document and training material
• Conduct training to customer
• Provide technical support to sales and maintenance team
• Others ad hoc duties as assigned

Job Requirements:

• Possess minimum Diploma or Degree in Mechanical / Mechatronic / Electrical Engineering or equivalent with 1-2 years of relevant experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

As Infrastructure Engineer you will be required to implement and support monitoring, automation and batch scheduling tools

What will you do?

1. Understand Operation business needs and translate into technical requirement

2. To implement monitoring, automation and batch scheduling tools

3. To support post implementation tasks including patching and upgrades.

4. To recommend best practices to meet project requirements

5. Assist in POC/POV, product evaluation and tech refresh activities

• Permanent role
• Global and well-established MNC in the Pharmaceutical industry

About Our Client

We are partnering with a global and well-established MNC in the Pharmaceutical industry, headquartered in US.

Job Description

• To be able to conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies
• Able to write efficient and maintainable codes using Python
• To work with DevSecOps tools for deploying and versioning code
• Able to optimize and fine-tune AI models for performance, scalability, and accuracy
• To work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions
• Stay up to date with the latest advancements in AI and machine learning technologies

The Successful Applicant

• At least 2 years of hands-on experience in AI Engineering
• Strong programming skills in Python language and building Restful APIs for AI models
• Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, databases
• Familiar with CI/CD and test-driven development
• Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics)

What's on Offer

• Permanent role
• Global and well-established MNC in the Pharmaceutical industry
• Attractive remuneration and benefits package

Contact

Cheryl Ang (Lic No: R2091316/ EA no: 18C9065)

Quote job ref

JN-092024-6537092

Phone number

+65 6416 9884

Page Personnel Recruitment Pte. Ltd.| Registration No. 201736642C

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

About Us

The Lindner Group is Europe’s leading manufacturer and contractor for the building envelope, interior fit-out and insulation. With a workforce over 8000, Lindner operates numerous production facilities and subsidiary companies in more than 20 countries from our main office in Arnstorf, Germany.

Lindner Facades Asia Pte Ltd (LFA) was successfully re-launched in May 2019, as part of the Lindner Steel & Glass operation. Located in Singapore, LFA will be used as a base to promote and secure projects for LFA and Lindner Group in the vast and promising Asian market.

Our projects will cover the Asian markets, which include India, Philippines, Indonesia, Malaysia, Myanmar, Thailand and Vietnam. Enquires have also been received from Cambodia, Bangladesh and Sri Lanka.

LFA offers pre-sales consultation and planning advice, design and engineering, project management and planning, fabrication and installation. Employing a team of highly skilled, well-trained and extensive experience when it comes to LFA’S unique selling point in delivering turnkey projects with complex steel and glass, facades, skylights, curtain wall and building envelopes.Report directly to Project Manager

Duties and Responsibility·

Assist Project Manager to oversee all daily construction activities on site to meet project progress and quality goals.

· Ensure all works are carried out in compliance with safety and environmental regulations

· Ensure all works are carried out in compliance to QA/QC requirements

· Convey proper instructions to subcontractors to ensure all installation works are executed in accordance with approved construction drawings details

· To manage construction difficulties, safety risk and other technical issues

· Prepare installation sequence & micro schedule for respective façade elements according to construction drawings

· Coordinate with Subcontractors on all matters pertaining to site installation and quality issues

· Monitor and update daily project/site progress report

· Maintain proper records of Site Inspection Reports, materials deliveries and site activities

· Arrange & Coordinate Site Testings and Inspections with Vendors and RTO/RE

· Manage and plan site materials and equipment delivery to ensure efficient use of resources

· Co-ordinate site storage space with Main Contractor

· To assist Project Manager in timely submission of materials samples and mock-up for approval

· Checking of RC structures conditions against construction drawings and highlight any discrepancies if found on site

· To perform other duties as assigned by Project Manager.

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

We are seeking talents who are motivated and analytical to join our team. We are working on an enterprise level IoT with ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in IoT system, data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Working with software programmers to monitor progress and testing criteria.

• Perform edge device coding and de-bugging as necessary.

• Perform data analytics.

• Monitor system testing and project milestones.

• Monitor user requirements and software changes.

• Assist in IoT sensors and hardware testing.

Requirement

• Diploma or Degree with EE or software engineering.

Preferably familiar with IoT and cloud architecture.

• Ability to handle system integrated testing.

• Must have interest in a total system development.

• Problem solving skillset is a must.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

About our client: Our client is an EPC contractor in the Offshore Oil & Gas industry.

About the role:

• Prepare and conduct Project Specific Quality requirements training to production Supervisors and sub-contractors QC Personnel.
• Establishing Work Procedures and Instructions.
• Act as Project Lead QA/QC and control the entire project Quality Assurance and Control activities during construction phase.
• Oversees the Inspector’s performance on the project towards monitoring and control of workmanship towards quality.
• Updating of inspection status and records on daily basis.
• Attend weekly client progress review, Internal and Sub-Contractors meeting to discuss Quality issues.
• Liaise with client in relation to Quality on Project Specific.
• Schedule and conduct Project Specific Quality Audit as per agreed Plan.
• Monitor the compiling of Piping Test Packages.
• Monitor administration and submission of ITRs for Project.
• Prepare and maintain Weekly Weld Rejection Rate Summary.
• Monitor the issue and close-out of NCR’s for the project and maintain its register.
• Monitor progressive compilation of the MDR for the project as work progress.

About you:

• Degree/Diploma in Mechanical Engineering.
• Min 6 years QA/QC experience in Marine shipyard
• Mandatory of Welding Inspectors certifications (AWS or CSWIP).
• With Lead Auditor certificate is preferred
• Experience with TOPside piping fabrication or TOPside module fabrication, welding inspections of structural, welding jobs including Non-Destructive testing.
• Experience in piping line walk, reinstatement inspections by clear understanding of Isometric drawings.

Other information:

Work location: West (company transport is provided in selected MRT stations)

Working days: 5.5 days works week (Mon-Fri, 8am to 5.30pm & Sat, 8am to 12pm)

*Please note that only shortlisted candidates will be contacted.*

Employment Agency: Kingsforce Management Services Pte. Ltd.

Employment Agency Licence No: 94C3545

EA Personnel: Wong Pik Kiun (Kimberly)

EA Personnel Reg. No.: R1984508

Purpose: Responsible for establishing process steps to produce in-house-made parts and meet customer expectations concerning quality, lead time, cost, and technological needs. Process Engineer drives improvements in process methods to enhance performance and output.

Key Area of Responsibilities:

• Establish process steps to produce in-house-made parts and meet customer expectations in terms of quality, lead time, cost, and technological needs, without compromising health and safety.
• Create process routing (work instructions) & BOM in BaaN, and prepare an Inspection Method Sheet (IMS)/checklist.
• Read and interpret 2D drawing, 3D model and customer specifications on drawing.
• Ensure process routing is ready for both the first article and volume production.
• Perform sustaining engineering work (documentation of the process, optimization of resources, support production team, resolving technical/quality issues).
• Monitor process performance (quality, cost, lead time) and yield using tools (e.g.: SPC).
• Monitor First Article (FA) progress and resolve technical issues in a timely manner to ensure smooth production flow from FA to volume production.
• Drive improvements to process methods to enhance performance and output.
• Take accountability in leading special projects and processes, treating it like a specialist in the identified process assigned by a superior.

Qualification & Experiences:

• Degree in Mechanical, Precision Engineering, or other relevant discipline.
• Minimum 3 years of working experience in the precision machining industry.
• Strong knowledge of manufacturing processes
• Knowledge of interpretation of engineering drawing
• Knowledge of designing tools (GD&T)
• Problem Solving and Continuous Improvement

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WE ARE HIRING!! Apply now and make a difference.

Role: OpenShift Container Platform Engineer

Job Requisition Number: JR40361

Job Level: More than 10 years of experience (L4)

Location: Singapore

Role

OpenShift platform engineer will be responsible for ensuring the uptime, performance, and compliance of Red Hat OpenShift Container Platform (OCP) in accordance to bank standards. As an OpenShift Engineer, you will work with architecture, development, operations, and security teams to develop scalable and secure containerized environments using Red Hat OpenShift.

Having a strong background in Containerization, Linux administration, Virtualization, Networking, and Security will be required in successfully fulfilling this role; and in providing first class level 3 support.

Additionally, understanding application development lifecycles as well practical experience in working with continuous integration and continuous deployment tools as part of the container lifecycle will be useful.

Responsibilities:

· Design, implement, and configure OpenShift clusters and containerized applications.

· Develop and maintain technical documentation related to design, configuration, usage, troubleshooting, backup, recovery, etc., for all OCP environments.

· Provide Technical assessment and advisory in relation to design, installation, configuration, including system upgrade and migration of OCP environment, including the operators for OCP.

· Collaborate with development teams to onboard and optimize applications on the OpenShift platform.

· Implement best practices for containerization, orchestration, and automation using OpenShift.

· Troubleshoot Red Hat OCP configuration and services and container issues, working in collaboration with other relevant IT areas and vendor support towards a quick and effective resolution.

· Work on container security solutions and ensure compliance with security policies.

· Manage OpenShift clusters for performance, availability, and capacity planning.

· Perform assessments and health checks of existing solutions and provide best practice recommendation and guidance to Support team.

· Automate deployment process.

Experience (Mandatory):

· Minimum 10 years of practical experience in the implementation of OpenShift/Kubernetes environments

· Expertise with the RedHat OpenShift Container Platform/Kubernetes.

· Experience in dealing with container configuration management, especially Helm and app-of-apps concepts.

· Experience working with infrastructure as code technologies such as Ansible, Terraform.

· Knowledge of application development, ideally Java Spring Boot.

· Experience in CI/CD Pipeline.

Knowledge/Skills:

· Excellent interpersonal skills and clear communication style.

· Works in a collaborative fashion, elevates team results over individual results.

· Ability to work on multiple tasks simultaneously among changing priorities.

· Works well under pressure and resolve complex problems.

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send a PDF Format Resume. Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

Job Objectives

Design and develop both optoelectronics devices and integrated photonics sub-system platforms. Devices includes but not limited to SOA, gain chips, FP lasers, DFB lasers (CW and DML) and SLEDs. Photonics integrated platforms include but not limited to photonics integrated circuits, Silicon-based integrated platforms, standard/custom packaged modules, as well as optoelectronics sub-systems (i.e. includes both optical and electronics sub-modules) to meet design goals and requirements.

Duties and Responsibilities

• Perform simulation of optoelectronic devices (CrossLight, ALDS, Optiwave), optical ray tracing (Zemax, Optalix), thermal (Solidworks) and electrical (5Spice) properties of optoelectronics devices
• Analysis of optoelectronics device epi growth, participate in wafer fabrication process integration, mask design integration, device functionality and reliability performance characterization and test results.
• With reference to state-of-art competitors, simulated performance and data-mining internal test-results database, you will refine the design, fabrication specifications, and simulation model and parameters to optimize fit between design and measured outcomes.
• Report generation of design and simulation outcome with support of experimental data, where available
• Build up database of optoelectronics device design white papers, and management of all design documentation repository
• Responsible for leading/co-leading programs with several major global players in the development of photonic integration solutions to support the Silicon Photonics platform for datacom and sensing applications.

1. Development will be beyond simplex monolithic integration with regrowth for spot size converters and array devices, towards multiple functionality PICs incorporating active devices of lasers, modulators and detectors with passive devices of waveguides, polarizers, MMI splitters and optical filters.
2. Development of multiple functionality PICs designed to be compatible to Silicon Photonics to form a larger scale integrated System-on-a-Chip component.

• Lead and manage qualification and transfer of product to manufacturing upon development completion.
• All other reasonable duties, as assigned

Qualification Guidelines

Minimum Education

Masters (in semiconductor based light emitting optoelectronics preferred)

Minimum Experience

Minimum 10 years’ working experience with technical background in optoelectronics and wafer fab processes in optical laser component, photonics device system and sub-system

Proven working experience in optoelectronics design and development and program/project management in the photonics manufacturing industry

Responsibilities:

· Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.

· Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.

· Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.

· Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.

· Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.

· Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Requirements:

· Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered. (Fresh Grad open to apply)

· Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.

· Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

· Experience with working on Large Language Models and Generative AI technology is a plus.

Technical skills:

1) Strong programming skills in languages such as Python.

2) Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.

3) Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.

4) Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.

5) Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.

6) Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.

7) Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

We are seeking a highly skilled DevOps / Cloud Engineer to contribute to significant government projects!

• Join a team that utilizes technology to enhance the lives of Singaporeans.
• Agile development culture to promote continuous learning and growth.
• Competitive remuneration package. Hybrid working arrangement.

Responsibilities:

• Design, implement, and manage AWS cloud infrastructure to support scalable, reliable, and secure services.
• Design, implement, and maintain CI/CD pipelines to automate software build, test, and deployment processes.
• Implement monitoring solutions and manage monitoring and alerting tools.
• Providing DevOps architecture implementation and operational support
• Maintain configuration management, build, continuous integration, and deployment tools.
• Source code management and collaborate with development teams on branching strategies and versioning.
• Monitoring automation to effectively detect/predict/prevent issues in the environment and code base.
• Streamline operational tasks, monitoring, and infrastructure provisioning.
• Design and implement production infrastructure architecture based on application requirements, ensuring scalability, availability, and security.
• Integrate security best practices into the software development lifecycle and ensure compliance with relevant standards and regulations.
• Prioritize and execute tasks in a high-pressure, fast paced environment.

Job Requirements:

• Singaporean only.
• Minimum of 3 years of relevant Cloud/DevOps experience.
• Prior hands-on experience in handling highly scalable distributed system, configuring automated build, test, and deploy pipelines to streamline the software delivery process.
• Proficient in containerization technologies such as Docker and Kubernetes.
• Proficient in configuration management systems (Terraform, Packer, Ansible).
• Proficient in AWS (Related certification will be advantageous).
• Strong scripting skills in Python, Bash, JavaScript and shell scripting.
• Working experience in Agile environments or projects (Scrum/Kanban).
• Prior experience in government/public-facing projects is advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data not required at this application stage.
• To withdraw consent, email [email protected].
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

• MNC Company
• Basic $5000 - $6000 + Allowance + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working days: Monday to Friday
• Working hours: 8.30am to 5.15pm
• Jurong Island. Company Transport provided
• Registered WSH Officer with MOM and Fire Safety Manager (FSM) with SCDF

Job Responsibilities:

• Interpret applicable Legal, Singapore Standards, Code of Practice & other requirements and implement & provide directions for compliance.
• Develop, maintain and periodically test out emergency response, Organize & conduct CERT audit and other emergency response relevant drills.
• Liaise with local authorities for all EHS issues, Licence renewal and represent the RC/SICA and other relevant meetings.
• Manage all EHS incident and non-conformance investigations and track corrective and preventive actions to closure.
• Organize risk assessments, site inspections and industrial hygiene and environmental samplings as well as implement or direct risk reduction and control measures.
• Conduct and organize EHS audits, trainings, meetings and promotional programs to increase employee awareness and knowledge.
• Establishing EHS objectives & Targets and its management Programme for continual improvement.
• Contractor management on In-house & SDM (Shutdown Maintenance) activities.
• Should have strong awareness on Safety Case implementation as well as Mitigative Measures for Safety Critical Events (SCE) in Major Hazard Industries (MHI).
• Establish good communication with all level and function within the organization.
• Assist in the adhoc assignment or project assign by management.
• Spearhead continual improvement projects for HSE.
• Work with HSE department in organizing Annual Safety Campaign.
• Liaise with local authorities for all EHS issues, License renewal and represent the RC/SICA/SORT and other relevant meetings.
• Other ad-hoc duties as assigned.

Requirements:

• Min Diploma in Chemical Engineering
• At least five years of primary experience handling safety responsibilities within HSE department
• At least 3 years of working experience in the oil or petrochemical industry. Preferably experienced in Jurong Island
• Must be a Registered WSH Officer with MOM and Fire Safety Manager (FSM) with SCDF
• Good command of English (spoken and written)
• Experience with ISO14001/ SS651(ISO45001) management systems

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities:

• Be a technical Subject Matter Expert for Middleware (Kafka, IBM MQ, ect)
• Troubleshoot Middleware products using various diagnostic tools
• Assist in delivery of high-quality solutions to clients in response to specific business requirements.
• Performs assigned technical tasks including study, analysis, programming, product installation, test and system integration.
• Provide technical advice to project managers/leaders and give technical direction to team members.

Requirements:

• Bachelor's Degree in Computer Science/Information Technology or equivalent field experience with at least 5 years experience supporting Middleware products (app server) and web servers.
• Experience with IBM WebSphere MQ preferred
• Experience in Confluent Kafka
• At least 2 years of experience in Virtual Machine, Linux, Containerized platform
• Programming experience on MQ,Kafka
• Possess initiative and disposition with a strong commitment and orientation towards results and high-quality standards

Job Scope

• Manage and execute project in cost effective, on time delivery with quality standards to meets client expectations;
• Managing the projects in accordance to our Company’s ISO 9001, ISO 14001 & OHSAS 18001 Standards and contractual requirements;
• Pre and post-contract stages from vetting tender documents, organizing tender activities as well as settlement of accounts with owner, sub-contracts / suppliers;
• The development and implementation of project management plans through the provision of project scheduling, monitoring, reporting and forecasting, ensure that safety regulations are complied;
• Providing and preparing all scheduling, budgeting and specification for the project work;
• Check drawings and quantities and ensure that the calculations are accurate for the project implementation;
• Carry out project planning, cost control, project management and documentations;
• Provide the direction in construction planning, coordinate work with other departments, sub-contractors, clients and consultants to ensure overall construction progress as scheduled;
• Liaise and assist in submission of all necessary permit, license to all relevant authorities for the project work;
• Attend meetings, correspondences and liaise with clients, sub-contractors and suppliers;
• Resolve design and site problems encountered during the construction period;
• Plan and manage actual and post construction issues with the clients, consultants, sub-contractors and relevant authorities;
• Ensure proper documentation of the project, such as record correspondence, as-built drawings, etc..;
• Close supervision of work carried out by sub-contractors and suppliers to ensure adherence to project schedule;
• Ensure highest quality on the work carried by the sub-contractor, fabricators and suppliers;
• Liaise with consultants, clients, sub-contractors and suppliers on the implementation of the projects;
• Check on the progress claim submitted by the sub-contractors;
• Monitor, track, report project progress, supervise Engineers, Supervisor, Technicians and sub-contractors’ on site;
• Follow-up on the defective work and ensure timely rectification by contractors, fabricators and suppliers;

Job Requirement

• Recognized Degree by BCA in Civil Engineering.
• Experience in Civil Engineering Projects, especially in Marine Construction of Jetty, Wharf, Harbour, Dredging, etc.