Total 21,922 network engineer job vacancies in Engineering category in Singapore

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.

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

About the role:

• Familiarization of ASME / API Codes & Standards, DNV Rules
• Proven experience of providing solutions on NDT inspection related problems
• Responsible for company NDT management and controls
• Responsible for trouble shot problems related to NDT
• Provide internal training technical guidance to QC Inspectors
• Develop/Review/approve NDT procedures, NDT techniques complying with project/code/regulatory requirements. Review NDT procedures prepared by NDT sub-contractor as per project specification prior to submitting for client approval
• Monitor the performance of NDT personnel through system of review of qualification, competency assessment, Cross checks and reports review
• Risk assessment of NDT works and lead the risk assessment process of NDT in the yard
• Prepare and conduct Project Specific Inductions/workshops/tool/box talk about NDT requirements
• Co-ordinate with NDT contractors to develop and update their individual competency matrix
• Maintain all NDT personnel qualification records and update from time to time.
• Keep a copy of all NDT contractors’ certificates
• Review NDT operator qualification and submit for project approval
• Establish calibration and validation blocks required to demonstrate Ultrasonic Testing
• Perform Audit on NDT contractors to ensure compliance with project requirements
• Witness & provide technical guidance on standard PAUT validations
• Provide technical support for inspection auditing activities and provide effective audit programming for companywide NDT activities
• Reviewing and commenting on standards, specifications, and enquiries
• Work as part of a team to ensure all regulatory, quality and customer requirements are met
• Verify NDT reports for project requirements compliance
• Creative problem solving - able to suggest and develop new methods and ways of working
• Sound communication skills – able to communicate ideas and results to various stakeholders both in written reports and in meetings, presentations etc
• Understanding of clients’ needs and ability to suggest and apply “fit for purpose” solutions
• Willingness to be flexible and multi-task as part of a team, and contribute to company objectives

About you:

• Bachelor’s degree in Mechanical Engineering / Master Degree in NDT
• Minimum 5 years experience in fabrication environment as NDT Level III
• ASNT/PCN Level III qualification in UT/RT/MT/PT/ CSWIP (PAUT)
• Reports to Principal Welding and NDT Engineer

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

Responsibilities

• Design, Code, and Test Siemens PLC Systems: Utilize the TIA portal to design, code, and test Siemens PLC systems, ensuring they meet project specifications and industry standards.

• Pharmaceutical Industry Experience: Apply your knowledge of the pharmaceutical industry to develop and implement PLC solutions that comply with regulatory requirements and enhance operational efficiency.

• Desigo CC System: Work with the Desigo CC system to integrate and manage building automation and control systems.

• BMS/PCS Expertise: Leverage your expertise in Building Management Systems (BMS) or Process Control Systems (PCS) to support various projects and ensure seamless integration with other systems.

• Hardware Design and Engineering: Design and engineer hardware components for PLC systems, ensuring they are robust, reliable, and meet project requirements.

• Site Support and Troubleshooting: Provide on-site support and troubleshooting for PLC systems, addressing any issues that arise during installation, commissioning, and operation.

• Interface with Other Systems: Ensure PLC systems interface effectively with other systems, including SCADA, HMI, and other automation and control systems.

• Project Execution: Manage and execute PLC projects from inception to completion, ensuring they are delivered on time, within budget, and to the required quality standards.

Requirements

• Experience: 4-6 years of relevant experience in Siemens PLC engineering, with a focus on the pharmaceutical industry.

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 looking for an experienced structural engineer to lead the team in charge of 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) to join our dynamic team. The ideal candidate will have a strong background in structural analysis and design of offshore platforms, jackets, and associated systems. Proficiency in industry-standard software such as SACS, STAAD PRO, ABAQUS, ANSYS, and FEMAP is essential.

Key Responsibilities:

• Team Leadership: Supervise and mentor Structural Engineers, providing technical guidance and support in transportation and installation engineering.
• Structural Integrity Studies: Perform and supervise structural integrity studies for offshore structures during pre-service, ensuring safety and compliance with relevant standards.
• Transportation & Seafastening Design: Design and analyze grillage & seafastening arrangements for transportation of structures (jacket/piles/topsides), ensuring structural integrity during transit and compliance with specifications and standards.
• Installation Engineering: Conduct lifting analyses, rigging calculations, lifting point local checks, barge outfitting design, piles driveability assessments, and miscellaneous installation aids design.
• Decommissioning Projects: Participate in the engineering analysis and design for decommissioning activities, ensuring safety and regulatory compliance.
• Project Management: Develop Cost-Time Resource (CTR) estimates and Master Deliverables Register (MDR); furnish progress reports to project management, highlighting concerns and recommendations.
• Software Proficiency: Utilize software tools such as SACS, STAAD PRO, ABAQUS, ANSYS, and FEMAP for structural analysis and design tasks.
• Collaboration: Work closely with multidisciplinary teams, including marine, mechanical, and project engineers, to ensure integrated project execution.
• Documentation: Write and review engineering reports, specifications, drawings and installation procedures, ensuring clarity and accuracy
• Quality Assurance: Conduct peer reviews of engineering deliverables to ensure high standards of quality and accuracy.
• Client and Surveyor Interaction: Coordinate with Clients and Marine Warranty Surveyors to achieve deliverables approvals throughout the project lifecycle.
• Tender and Bids Preparation: Prepare tender and bid studies, including fleet suitability checks, basic procedures, MTO estimations and installation method statements.
• Operational Support: Provide support during yard loadout and offshore operations as required by clients, ensuring smooth execution of activities.
• Business Unit Support: Assist the Business Unit Manager as needed, contributing to strategic planning and project delivery.

Qualifications:

• Bachelor’s degree in Civil or Structural Engineering; Master’s degree preferred.
• 10+ years of experience in structural engineering, with a focus on offshore platforms and jacket structures.
• Strong understanding of offshore engineering principles, including seafastening and transportation design.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication and leadership abilities, with a proven track record of managing engineering teams.

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

Organisation Context

The Airspace Mobility Solutions (AMS) business, part of the Global Business Unit Land and Air Systems, is providing leading edge Air Traffic Management (ATM), Unmanned Traffic Management (UTM), Security and Digital Aviation solutions for the Commercial and Defence sectors.

The AMS business manages 11% of the world’s airspace and with revenues of over 500 million Euros worldwide, is the global market leader in airspace management solutions. In Singapore, the business focus is the delivery and support of two key ATM solutions including TopSKY-ATC(HE) and LORADS-III.

This role will initially support the TopSKY-ATC (HE) product.

Role Description

The Principle Systems Engineer will engage with key stakeholders, including; solution architects, speciality engineers (Safety, Security, HF) and ATM subject matter experts to prepare and deliver requirement and design changes with reference to a defined system functional baseline to satisfy customer needs and project/bid cost targets.

Responsibilities

· Design, develop and document solutions to meet customer requirements, whilst ensuring the integrity of the System functional baseline and architecture

· Define solutions that deliver the best trade-off between requirements, cost, schedule and risk, which meet our customer’s needs

· Ensure the transversal constraints related to the function are considered (Safety, Human Factor, Performance, Security)

· Lead the technical reviews, including internal and with the Customer

· Lead technical working groups both internally and externally to define technical solution

• Proactively participate in PI planning and backlog refinement including contributing to the effort estimation

· Prepare Engineering Change Proposals (ECPs) and Problem Change Requests (PCRs)

· Develop and manage traceability of requirements using DOORS, including the Functional, Allocated and Product baselines.

· Perform peer reviews of engineering documentation written by other team members

· Proactively support your Squad members (software, integration and verification)

· Support the Product Owner (PO) and Scrum Master (SM)

o Make recommendations on strategies to improve performance or productivity

o Identify risks, and proposing effective solution early and executing mitigation actions

o Provide input into the planning and coordination of program integration activities

· Promote knowledge sharing ensuring that work is captured sufficiently for re-use across projects

· Provide technical oversight to the Squads within the broader team, ensuring that the designed solution is implemented as per the design and in accordance to the schedule and cost and quality constraints.

· Define and report on KPIs for the function

• Work in accordance with the defined Thales processes and practices, and contribute to their improvement.

Knowledge, Skills & Experience

Qualifications

· Degree in Engineering, IT or related discipline

· Postgraduate studies in Systems Engineering (Desirable)

Essential Experience

· Air Traffic Management in one or more of the following functional areas:

o Coordination

o Surveillance

o Adaptation/Configuration

o Interpartition/SWIM

o Profile

o HMI

o Tower

o Simulation and Training

o Safety Nets/Conflict Detection

o AMAN/DMAN

· Proven experience in Systems Engineering (7+ years) including; Requirements, Design, Integration and Verification and Validation

· Experience with Systems Engineering Standards eg. ISO/IEC15288

· Proven experience in the ATM Domain and related standards eg. ICAO, Eurocontrol

· Proven experience in the development of products and projects in a variety of methodologies, with a particular focus on iterative/agile development

· Proven experience working in an Agile framework

· Experience with Safety, Security and Human Factors standards and practices

· Demonstrated ability to achieve effective outcomes in a multidiscipline, multi-culture environment

· Coaching and sharing of his/her know-how

• Capability to manage various stakeholders having different objectives

· A positive attitude combined with excellent interpersonal and motivational skills.

· Comfort in facing and managing complexity

· Sound judgement and independent decision-making capability where necessary

· Excellent written and oral communication skills in English

Desirable:

· Experience in System Engineering tools eg. DOORs, Polarian, Jira

· Experience in Model Based Systems Engineering and tools eg. Capella, Enterprise Architect

· Experience in working in a Scaled Agile Framework (SAFe)

· French Literacy

General / Special Requirements

· Assist in ensuring a harmonious work environment in all departments that you are working with by upholding Thales' key values.

· An advocate for diversity and inclusion who will be actively involved in implementing change initiatives to achieve our diversity goals

· An advocate for a culture of continuous improvement

· An advocate for Accountability, transparency and curiosity

· Comply with all relevant company Occupational Health, Safety and Environmental policies and framework and work practices with the intent of preventing or minimising accidental exposures to self, colleagues, visitors and/or the environment and to ensure a safe work practises at all times.

· Comply with all relevant Company policies and procedures.

SPECIAL REQUIREMENTS

· Occasional international travel may be required

About JobTech

JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
At JobTech, we are obsessed with improvements, inventing the future and empowering connections. Be surrounded by an enthusiastic team, excited to solve human capital business problems in talent development, using deep technology and labour market data. We embrace empowerment and love seeing what each individual member of the team brings to the table. We are hands-on dreamers, brought together with the common goal of helping people stay employable. If you've always known you were made for something greater, and would like to be a part of changing the HR tech-scape, we want you.

Job Description

JobTech is a product start-up looking to solve real world labour problems and deliver the best possible experience to our end users. We are looking for passionate and self-driven hands-on engineers.

• Work closely with the Technical lead to manage and scale cloud infrastructure effectively.
• Design, implement, and maintain CI/CD pipelines for development and production environments.
• Develop and maintain automation scripts for system security and monitoring.
• Provide guidance on DevSecOps best practices and ensure compliance with security controls.
• Work closely with the Product Development team to improve and extend system architectures.
• Coordinate with customers' IT teams to facilitate smooth on-premise deployments.

Requirements

• At least 3 years of experience as a DevOps engineer.
• Proficient in Java/J2EE, Spring Framework and Linux.
• Experience in Jenkins for CI/CD.
• Experience working with microservices architecture.
• Knowledge in OWASP or other security related standards
• Knowledge on VPC, Subnets, NAT gateways, SSH tunnelling or Jump Hosts
• Experience in AWS Cloud. (EC2, S3, RDS, Cloudfront, EKS, Elastic beanstalk ...etc)
• Experience in Database Management
• Experience in Monitoring tools
• Experience in Scripting (Bash, Python ...etc)
• Hands-on experience with Terraform, Kubernetes, Docker, Ansible is a plus.
• Experience in Azure Cloud, Oracle Cloud, or Ali Cloud is a plus.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Note: We regret to inform that only shortlisted candidates will be notified.

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

The Staff Systems Engineer in the Developer Experience group will be responsible for engineering and supporting various technologies and tools to provide best Developer experience for Visa’s Development community. Key responsibilities include:

• Engineer vendor products to Visa’s environment by installing, upgrading, patching, and maintaining Developer tools.
• Interface with internal departments such as Cybersecurity and Governance groups to ensure controls are established maintained and complied for all Developer tools.
• Interact with vendors and provide necessary feedback to tailor vendor products to meet Visa’s needs.
• Develop standards and enforce governance across CICD practices
• Create and maintain templates and catalogs of pipelines and manage inner sourcing processes
• Perform regular housekeeping on tools to provide high standards of application stability and reliability.
• Support ongoing Developer Tools projects and provide technical input as needed.
• Support complex technical issues in an interop production environment.
• Participate in L3 on-call support rotation.

Tools Include:

• Project management
• Source code management.
• Build and Deployment management.
• Test and Quality tools.
• Cloud services for DevOps
• Developer productivity and analytics tools.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualification

Basic Qualifications

• 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.

Preferred Qualifications

• 6 or more years of work experience with a bachelor’s 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
  4/5+ years of experience working in the capacity of a Devops admin role, build/release/systems engineer, or any other software development related job
• Expert knowledge as admin or user on at least 5 of the following tools GitHub, GH Actions, CodeFresh ArgoCD, Terraform Env0, Artifactory, ECR, DTR, SonarQube, CheckMarx, Nexus IQ, Jira and Jira Align.
• Good working knowledge in the use of software build tools, e.g. maven, npm or Gradle, docker
• Prefer to have AWS / GCP / Azure certified
• Minimum 2 years hands-on experience with Docker & Kubernetes preferred.
• Minimum 2 years of experience with AWS /GCP
• Good knowledge in writing pipelines for CI/CD and catalog management
• Excellent knowledge in troubleshooting and debugging technical issues.
• Excellent knowledge using tools such as Splunk, Graffana, Prometheus, Cloud watch and other monitoring tools.
• Experience in using Python/Shell Scripting/PowerShell/Groovy, or any scripting language.
• Experience with Java, Golang, or .net programming languages is highly preferred.
• Excellent knowledge of DevOps practices and procedures
• Proven ability to multi-task
• Self-motivated and adaptable to change.
• Excellent verbal and written communication skills
• Ability to work in a team setting.

FIELD ENGINEER (AGV)

Company background:

• One of Singapore’s established warehouse intelligence companies and has been the frontier of a logistics revolution, rewriting the rules of intralogistics and transforming warehouses across Asia Pacific with intelligent warehouse automation solutions.

Location: West (Benoi)

Working Hours: 5 Days Work Week, Mon to Fri (8.30am to 5.30pm)

Remuneration Package:

• Basic up to S$ 5000
• Variable Bonus (~3 months)
• Flexi Dollars S$ 800

Job Responsibilities:

• Commissioning of AGV at customer sites which includes on-site user acceptance tests.
• Ensure the performance and reliability of company’s fleet of AGVs, network and customer site infrastructure.
• Provide high level troubleshooting to resolve issues that are beyond the capabilities of our first level support services from field technicians.
• Monitor the health and operations of the company’s fleet of AGVs and proactively engage to resolve faults before they impact customer operations.
• Respond and provide technical guidance to customers regarding operational issues, software updates and general maintenance.
• Maintain up-to-date records oF AGV and site configurations. This includes software and hardware configurations
• Communicate and collaborate with our global engineering teams
• Contribute to the development of instrumentation and automation for monitoring, detection, and self-healing of failures.
• Contribute to the creation of user manuals, customer guides, FAQs, application notes and best practices.
• Contribute to the design and creation of AGV missions using company’s proprietary mission description language.
• Provide on pre-sales technical assessments
• Infrastructure includes reflective markers and networking equipment.
• Participate in Proof of Concept (demonstrations) with demo AGVs
• Ensure strong relationships with all customer representatives

Requirements:

• At least a Diploma in Robotics related field with technical experience (EE, ME, CS, Robotics) with minimum 3 years of relevant (customer facing) work experience
• Must be able to focus and drive issues to closure in a fast-paced, agile environment.
• Strong communication and people skills. Customer-centric mindset. Willingness to go above and beyond to keep customers happy.
• Experience with Linux (ideally Ubuntu) administration, tools and Bash / Python scripting.
• Ability to troubleshoot and resolve device and system-level problems in Linux.
• Experience with firewalls, VPN and network security technologies
• Working knowledge of SSH, DNS and other network protocols
• Willingness to troubleshoot electro-mechanical components.
• Willingness to work within established systems and product results that either prevent problems from recurring or enable others to solve them more easily in the future.
• Strong team player
• Experience with ROS command line and graphical tools advantageous

Please be notified that only shortlisted candidates will be notified.

Ian Fong | R22106545

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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

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.

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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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

• 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.

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.

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

Key Responsibilities:

• System Development, Implementation and Support
• Evaluate requirements and analyze impact to the application
• Involve in design and development stage
• Involve in application setup and deployment
• Provide guidance towards testing phases
• Provide level 3 production support to relevant open systems applications 
• Coordinate with internal teams and vendors to resolve application and system issues
• Execute tasks related to project / change request / maintenance request

Key Requirements:

• Degree in Computer Science or equivalent
• 5 years of UNIX/LINUX/SQL/Korn Shell programming experience
• Hands-on experience on Oracle database, Webserver such as Apache, Java platform / J2EE and Java web container such as WebLogic, JBoss EAP, Tomcat
• Relevant working experience with good working knowledge in cards, loyalty, remote commerce, portals or digital payment domains.
• A good understanding of API frameworks will also be desired.
• Ability to multi-task and perform well under pressure