Responsible to manage overall aspects for project/s assigned.

2. Coordinate necessary site induction (SIC).

3. Coordination with all parties for site installation and arrangement, resolve any issues arise.

4. Monitor workers attendance and work progress.

5. Make sure site workers work according to site requirement for safety and quality.

6. Manage and arrange any request from site supervisor / workers.

7. Update weekly progress status to management.

8. Attend to client line walk and follow up punch list closure.

9. Prepare any necessary documentation for project assigned.

10. Any other ad-hoc tasks assign by management.

Skill Requirements:

1. Diploma or Degree in Engineering.

2. Minimum 2 years’ relevant working experience in Semi-conductor piping system preferred.

3. Able to build rapport with different group of people.

4. Good knowledge in construction safety and quality.

5. Experiences in UHP gas / chemical system will be added advantage.

6. Able to work with minimum supervision.

Job Description

• Provisioning and configure devices

• Installation and upgrading of software / patches

• Perform asset management & update asset records

• Setting up/tearing down of computers

• Updating to the latest windows and programs

• Conduct testing all on devices and systems

• Carrying out re-installation (cloning) of desktop images

• May be assigned with other IT related tasks

Job Requirement

- Nitec in Information Technology or equivalent

- Entry Level

- Training will be provided•Carrying out preventive maintenance on a quarterly basis

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Aligned with Innovation Enabled:
  • Assist in AI Solution Development: Support the design, training, and deployment of AI models for innovative teaching and learning solutions, enhancing personalization and engagement.
  • Support IT Modernization Efforts: Work on automating processes and improving service delivery to achieve operational excellence and stakeholder satisfaction.
• Aligned with User-Centric:
  • Enhance User Experience: Collaborate with the team to integrate AI into IT services, ensuring seamless and user-friendly applications that prioritize empathy and usability.
  • Develop Employee-Focused Tools: Build and maintain AI-powered tools that assist employees in focusing on value-added tasks and improving productivity.
• Aligned with Data-Driven:
  • Prepare and Process Data: Collect, clean, and preprocess data for machine learning and AI projects, ensuring accessibility and usability for decision-making.
  • Contribute to Analytics and Insights: Assist in generating intelligent insights by developing and refining models for data analysis and reporting.
• Technical and Collaborative Responsibilities:
  • AI Development and Maintenance: Write and maintain code for AI/ML models and pipelines, ensuring accuracy, scalability, and efficiency.
  • Research and Experimentation: Explore emerging AI techniques and tools to recommend improvements and innovative solutions.
  • Documentation and Reporting: Maintain clear documentation of AI workflows, model parameters, and project updates for future reference and team collaboration.
  • Cross-Functional Collaboration: Work closely with the AI Technical Lead and stakeholders across departments to ensure solutions meet business needs.

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• Minimum 5 years' experience in an IT role, with 1 to 2 years in AI and related fields.
• Recent graduates or candidates with internships/projects in AI/ML are welcome.
• Certifications such as Microsoft Azure AI Fundamentals, AWS Certified Machine Learning, or Google AI certifications are a plus.
• Proficiency in Python or R, with familiarity in ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of data visualization tools (e.g., Matplotlib, Seaborn).
• Awareness of cloud services such as Azure, AWS, or Google Cloud, with hands-on experience being a plus.
• Knowledge of data processing tools like SQL and familiarity with data preparation techniques for AI/ML models.
• Exposure to ETL pipelines and working with datasets from diverse sources.
• Demonstrated experience through coursework, internships, or personal projects in developing and deploying machine learning models.
• Strong ability to work in a team, learn quickly, and apply feedback to improve performance.
• Problem-Solving: Logical and creative thinking to address challenges in AI implementation.
• Communication: Ability to articulate technical concepts to non-technical team members and stakeholders.
• Ethical Awareness: Understanding the basics of ethical AI practices, such as fairness and data privacy.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Innovation Enabled
• Develop AI-Powered Solutions: Design, build, and deploy AI models and applications that enhance teaching and learning personalization, critical thinking, and engagement, aligning with SMU's innovation goals.
• Modernize IT Services: Leverage AI technologies to automate workflows and modernize IT operations, ensuring they are secure, resilient, and efficient, contributing to operational excellence.
• User-Centric
• Enhance User Experience with AI: Implement AI-driven tools and services that provide seamless and consistent experiences across SMU's digital platforms, grounded in human-centered design principles.
• Empower Employees through AI Tools: Develop and deploy personalized AI applications that assist employees in automating repetitive tasks, improving productivity, and enabling a focus on strategic, value-added work.
• Data-Driven
• Build Unified Data Solutions: Collaborate with the data team to create AI models and pipelines that unify and make institutional data accessible for informed decision-making and analysis.
• Generate Intelligent Insights: Use advanced analytics and AI techniques to deliver actionable insights, helping stakeholders identify opportunities for improvement and refine services.
• Technical Execution and Collaboration
• AI Model Development: Develop and optimize machine learning models, ensuring scalability, accuracy, and relevance to SMU's needs.
• Infrastructure and Tools: Set up and manage the necessary infrastructure, tools, and pipelines to support AI development and deployment efficiently.
• Cross-Functional Collaboration: Work with stakeholders across departments to understand requirements, integrate solutions, and ensure AI systems meet business needs.
• Governance and Continuous Improvement
• Ensure Ethical AI Practices: Work with the governance team to implement governance frameworks and maintain compliance with data privacy and security policies in all AI initiatives.
• Upskill and Support: Provide hands-on technical training to team members and SMU staff, building internal AI capabilities and fostering a culture of innovation.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical field.
• Minimum 8 years' experience in an IT role, with 2 to 5 years in AI and related fields.
• Professional Certifications (optional but desirable):
• Certifications in AI and Machine Learning, such as:
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning Specialty
• Data-related certifications, such as:
• Certified Data Scientist or similar credentials.
• AI ethics or governance certifications are an added advantage.
• Hands-on experience in deploying AI/ML models on cloud platforms, e.g. Azure Cognitive Services, AWS SageMaker, or Google AI Platform.
• Familiarity with cloud-native tools for orchestration, such as Kubernetes, and serverless computing solutions like AWS Lambda or Azure Functions.
• Knowledge of cost optimisation strategies for AI workloads in the cloud.
• Good knowledge of Python or other programming languages for machine learning and data science tasks, including libraries like NumPy, pandas, and Matplotlib.
• Ability to write efficient code for statistical modeling or production-grade AI system development.
• Familiarity with shell scripting and version control tools like Git.
• Proficiency in building, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Strong understanding of advanced ML concepts like transfer learning, reinforcement learning, and unsupervised learning.
• Expertise in working with large-scale data using tools like Apache Spark, Hadoop, or SQL.
• Familiarity with ETL (Extract, Transform, Load) processes to prepare and clean data for machine learning.
• Understanding of database systems, both relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra).
• Proven track record of designing, implementing, and maintaining AI/ML models that solve real-world problems.
• Experience in developing AI pipelines for model training, testing, and deployment.
• Knowledge of MLOps practices for scalable and maintainable AI systems.
• Demonstrated ability to work effectively in cross-functional teams, engaging with stakeholders to understand business requirements and translate them into technical solutions.
• Experience in a university setting, contributing to academic or research projects, or supporting faculty and students with technical AI solutions is an advantage.
• Strong communication skills to articulate technical concepts to non-technical stakeholders and promote AI literacy.
• Problem-Solving Ability: Strong analytical thinking and a structured approach to solving complex challenges using AI and data.
• Knowledge of AI Governance: Understanding ethical AI practices, data privacy standards (e.g., GDPR), and bias mitigation techniques.
• Proficiency in Automation platforms like Power Automate and Visualization Tools like Tableau, Power BI, or Python libraries (e.g., Seaborn, Plotly) for automation integration and presentation of AI-driven insights.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

BIENE Technologies Pte Ltd. is a growing ITES Outsourcing, GPS & Innovative project building company, and we need a chief technology officer (COO) to be the right hand of our thriving CEO. With your experience and talents, you’ll be able to lead our team of high-performing professionals to be efficient, productive, and effective. Our ideal candidate has extensive experience within the industry, perhaps having worked your way up through the ranks to your role as an executive. We believe this trajectory helps develop a unique mix of business and management expertise, plus proficiency with the practices, policies, and procedures of the IT industry. We have our eye out for a CTO with strong leadership skills and the ability to approach business from a creative point of view.

Objectives of this Role:

Collaborate with the CEO in setting and driving organizational vision, operational strategy, and hiring needs.

Translate strategy into actionable goals for performance and growth helping to implement organization-wide goal setting, performance management, and annual operating planning.

Oversee company operations and employee productivity, building a highly inclusive culture ensuring team members thrive and organizational outcomes are met.

Ensure effective recruiting, onboarding, professional development, performance management, and retention

Adhere to company, federal, state, and local business requirements, enforcing compliance and taking action when necessary

Daily and Monthly Responsibilities:

Analyze internal operations and identify areas of process enhancement

Develop actionable business strategies and plans that ensure alignment with short-term and long-term objectives developed in tandem with the CEO.

Directly oversee operations, HR, and accounting, and partner with the CEO on sales management to budget for sufficient investment capital to achieve growth targets over the near term.

Aggressively manage capital investment and expenses to ensure the company achieves investor targets relative to growth and profitability.

Monitor performance with tracking and establish corrective measures as needed, and prepare detailed reports, both current and forecasting.

Maintain and build trusted relationships with key customers, clients, partners, and stakeholders

Skills and Qualifications:

Bachelor’s degree in business administration, or related field

5+ years experience in executive leadership positions

Leadership skills, with steadfast resolve and personal integrity

Understanding of advanced business planning and regulatory issues

A solid grasp of data analysis and performance metrics

Be able to diagnose problems quickly and have foresight into potential issues

Excellent interpersonal and public speaking skills

Preferred Qualifications:

Fundraising experience

International business experience

~ Act as an effective board member

~ Adopt international hotel asset valuation & business acquisition models

~ Carry out finance philosophy and strategies

~ Develop and drive organisational vision, mission and values

~ Develop succession plans

~ Direct strategies and set targets

~ Grow strategic business partnerships

~ Interpret statutory financial statements for business leaders

~ Lead and account for innovation within the organisation

~ Lead and create strategic priorities, culture and governance

~ Lead change management

~ Lead succession planning, capability development and employee engagement

~ Monitor performance and create reward strategies for results

~ Provide leadership during crisis situations

~ Represent and promote the organisation

~ Spot and develop business opportunities

Proven experience as Chief Operating Office or relevant role:

Understanding of business functions such as HR, Finance, marketing etc.

Demonstrable competency in strategic planning and business development

Experience in fundraising will be a plus

Working knowledge of data analysis and performance/operation metrics

Working knowledge of IT/Business infrastructure and MS Office

Outstanding organizational and leadership abilities

Excellent interpersonal and public speaking skills

Aptitude in decision-making and problem-solving

What will you do?

At Caton, we believe in the power of IP networks to enable high-quality and real-time interactions between people, things and everywhere in between. With our customers and partners, we focus on long-term win-win relationships built on a foundation of Caton's core values of being creative, innovative, self-motivated, and passionate about the technology industry.

As a Solutions Architect (Pre-Sales) at Caton Technology, you will be responsible for engaging with customers to understand their technical requirements and provide tailored solutions. This role involves staying relevant to technology trends within the industry verticals of our customers. You will be required to present proposals from two perspectives: Technical and Commercial / Financial. Additionally, you will need to support post-sales service work, ensuring that our customers receive comprehensive support beyond the initial sale.

Key Responsibilities

• Collaborate with clients to understand their requirements and translate them into comprehensive IP transmission solutions.
• Utilise expertise in IP Transmission stream protocols to design and implement efficient and reliable solutions.
• Work closely with internal sales teams, global resellers, and System Integration partners to drive business growth and expand market reach.
• Demonstrate a strong understanding of the broadcast/OTT/CDN/IP transmission industry, including its unique challenges and requirements.
• Manage the responses to RFIs, RFPs, and provide technical proposals that meet client needs.
• Maintain strong relationships with end customers and internal System Integrators (SI) to ensure an excellent level of customer satisfaction.
• Design system architecture and network infrastructure for IP transmission, focusing on scalability, reliability, and security.
• Define the scope of managed services, including SLAs, maintenance and support, network monitoring and performance optimisation.
• Conduct technical presentations and demonstrations tailored to customer needs.
• Collaborate with Product and Engineering teams to customise solutions or develop new features.
• Stay updated on industry trends and advancements in IP transmission technologies to improve offerings.
• Support post-sales service work to ensure comprehensive customer support.
• Able to manage and respond to RFIs, RFPs, and provide compelling technical proposals.

Desired Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum of five years of experience in broadcast and IP transmission industries as a Solutions Architect or senior Pre-Sales Engineer.
• Strong knowledge of IP transmission technologies, protocols and networking concepts.
• Proficient in designing and implementing solutions using IP networking, routing and switching technologies.
• Familiar with cloud computing platforms and services (e.g. AWS, Azure, Google Cloud, etc.).
• Excellent problem-solving and analytical skills.
• Experience in selling IP transmission managed services and building successful customer relationships.
• Strong communication and interpersonal skills.
• Able to work collaboratively with cross-functional teams and stakeholders.
• Able to prioritize and manage multiple projects simultaneously.
• Strong relationships with end customers, global resellers and SI partners are a plus.

Job Responsibilities

· Handle half sets of accounts (eg; AP/AR)

· Ensure timely recording of creditors invoices and payment transactions and chasing external tenants for billings and Cheque

· Keying daily and monthly sales report

· Maintain proper filing and documentation of records

· Involved in cashflow calculation and preparation

· Assist in performing weekly/monthly bank reconciliations

· Assisting with administrative support

Job Requirement

· At least a Diploma in Accounting/Finance or related fields

· preferably 1 year of working experience

· Team player

· Good interpersonal skills, able to communicate effectively

Job Responsibilities

· Understanding the SOP of the operations and improving the processes

· Submitting daily/weekly report to management

· Inspection of work environment and staff KPI

· Doing daily QC check

· Ensuring all machines are functioning efficiently

· Involve in problem solving issues and replying clients/customers

· Assist with staff attendance and scheduling

· In charge of training and overseeing the operations

· Ensure safe work and hygiene procedures are implemented to control risks

· Responsible to ensure all staffs meet their job expectations

Job Requirement

· Able to commit on weekend work, 6 days work week

· Need to work in a fast-paced environment

· Require to have 2 years of relevant working experience (eg; supervising a team in production/operation sector)

· Good communication skills

· Good leadership skills and maturity to lead a team

Job Description

• Review, update and maintain Quality Management System procedures.
• Verify & ensure process documentation compliance; Work Instruction, Quality Inspection Plan, Date Sheet & Inspection Reports, etc.
• Lead & guide QC Inspectors in ensuring work compliance.
• Oversee in-process and outgoing quality inspections and work with internal team teams to resolve quality issues in daily manufacturing process.
• Responsive towards resolution of process non-conformance.
• Follow up customer complaints by communicating with internal teams for containment actions, root cause analysis, corrective and preventive actions.
• Managing documentation control system, as well as audits (Internal/external).
• Ensure Customer environmental survey and other relevant requests are completed in a timely and orderly manner.
• Support QA/QC activities, assisting in projects when required & providing additional support when necessary.
• Any other ad-hoc duties as assigned.

**Successful candidate will be provided on-the-job training

Job Requirement

• Minimum Diploma/Degree in Quality Management/Mechanical/Manufacturing Engineering/Chemistry/ Chemical Engineering or equivalent.
• Min 1 year related working experience in manufacturing settings.
• Min 1 year of experience in Quality / Supplier Quality in a manufacturing environment working in a ISO regulated environment.
• Knowledge in ISO 13485, ISO 9001 and ISO 14001.
• Team player with good working attitude.
• Able to start work immediately.
• Comfortable to work at East area, Changi South.
• Entry level are welcome to apply.

Job Responsibilities

• Responsible for the design, planning and implementation of Ant Security Technology's commercial products, coordinate internal and external resources, drive project progress and implementation.
• Analyze market demand and competition, find customer pain points, design business models, determine product pricing, improve product user experience, and be responsible for product market competitiveness.
• Product interaction, visual design, product function optimization and iteration, and partner communication and management and other specific work
• Cooperate with business and technical teams to conduct reasonable business abstraction and product design, and promote the universal construction of products.
• Priority will be given to those with management team experience and methodology.

Job Requirement

• Understand the enterprise security industry and have your own thoughts on the development of the security industry.
• 5 years or more of experience as an Internet product manager, or experience in financial/payment risk control/AI products, experience in commercial products is preferred.
• Have strong cross-departmental capabilities and team coordination capabilities, be good at teamwork, promote unified goals within and outside the team, and promote product implementation.
• Professional project management and time management capabilities, able to handle multiple transactions concurrently, ensure efficient product implementation, and get the expected results.
• Fluent English communication and writing skills are required.

Helpdesk or (Outsourced) – End-User Support

Working hours: Monday to Friday, 9:00 AM - 6:30 PM.

Responsibilities:

• Oversee maintenance, set-up, installation/re-installation, relocation and migration of IT peripherals.
• Provide support for hardware, software, and peripheral devices, including upgrades and patches.
• Onsite & remote support for clients/end-users on IT-related requests
• Diagnose and able to resolve technical issues related to desktops, laptops, and printers.
• Ensure issues are addressed and resolved in a timely manner.
• Assist in configuring and setting up new employee workstations
• Manage software administration (e.g. Microsoft 365), including password resets and account management.

Requirements:

• Minimum ITE / Diploma in IT or equivalent.
• Fresh graduate are welcomed to apply.
• Able to deliver IT support to in a end-user environment.
• Excellent verbal and written communication skills, with a strong focus on customer service.
• Take initiative and able to work in a fast-paced environment, independently and also as part of a team.
• Open to help out after office hours (OT) depending on projects

Job Responsibilities

• Responsible for the algorithm research and development, delivery, and customer support for ZOLOZ, the overseas business of Ant Group's security technology.
• Design algorithmic solutions for security scenarios targeting overseas customers, including task breakdown and the development of algorithm modules.
• Closely collaborate with product and solution teams to develop industry-leading AI commercial products, achieving advanced levels in the industry and delivering these to overseas customers.
• Explore the transformative changes and enhanced security that multimodal large models can bring to identity verification.

Job Requirement

• Possesses extensive experience and a strong background in machine learning/artificial intelligence, with a solid academic foundation and research creativity. Priority is given to those with expertise in computer vision, risk control modeling (Graph, NLP), and multi-modal large models.
• Has practical experience in algorithm engineering, leading or participating in the industrial implementation of algorithmic products or projects. Proficient in relevant programming platforms such as PyTorch, TensorFlow, Keras, etc. Experience with large model implementations is preferred.
• Holds at least a Master's degree in Computer Science, Computer Engineering, or related fields. A Ph.D. or publications in top-tier conferences/journals are preferred.
• Demonstrates excellent communication skills, along with the ability to collaborate and drive cross-team or cross-departmental projects. Preference will be given to candidates with B2B commercialization experience or fluency in English.

Responsibilities:

• Manage daily sales operation
• Knowledgeable in purchase orders, delivery orders and able to handle sales orders, quotation & invoices
• Respond to a high volume of inquiries and provide helpful solutions to customer issues
• Connect with existing key customer contacts if needed
• Collaborate with internal teams like Finance, Procurement, Logistics, and Marketing.
• Assist in preparation & submission of relevant reports and documents for tenders
• Attend regular online/offline product training sessions arranged by vendors

Requirements:

• Diploma in Business or a related field.
• Preferably 1-2 years of experience in a similar role.
• Experience with computer hardware, software, or maintenance contracts is a plus.
• Comfortable working in a fast-paced and dynamic environment.
• Excellent at building and maintaining strong relationships with customers and internal team.
• Proficient in Microsoft Office & Excel

Job Scope:

Responsible for the entire sales cycle

• Identify and pursue new business opportunities to maximize sales and revenue.
• Develop and maintain strong relationships with clients to enhance customer satisfaction and loyalty.
• Actively explore new business accounts and develop client base through cold calling & networking
• Conduct cold calls, face-to-face meetings, and presentations to engage potential clients.
• Enjoy interacting and communicating with people, maintaining good rapport with our IT Business Partners
• Follow-up on leads and sales inquires
• Close sales effectively to meet and exceed monthly and annual sales targets.

Requirements:

• A self-motivated, goal-oriented individual with a "hunter" mentality.
• Self-starter, result-driven, energetic & positive thinking
• Excited about the opportunity to develop consultative sales skills and to meet monthly targets
• Excellent communication and interpersonal skills, with the ability to establish rapport quickly and effectively.
• Strong negotiation skills and closing abilities with a solution-oriented mindset.
• Proven track record of successful B2B sales experience, ideally within a related industry.

Others:

• Working hours: Monday to Friday, 9:00 AM - 6:30 PM.
• Location: 61 Kaki Bukit Ave 1, Singapore 417943.
• Compensation: Base salary with performance-based commission/incentive structure.

Kindly note that this position requires you to possess a strong willingness take on responsibilities and challenges.

Responsibilities

· Support daily Sales Operation activities, assisting in purchasing, invoicing and sales orders

· Negotiate with vendors, handle client enquiries, resolve disputes and follow through with payment and invoicing processes

· Arrange and coordinate product deliveries

· Work closely with sales/product colleagues to execute processes to improve operational efficiency

· Provide stellar administrative support to the assigned corporate department/function

Requirements

· Minimum Diploma or equivalent

· 3 years of working experience or fresh graduate willing to learn

· Polite and pleasant personality with a customer-oriented mindset

· Good organizational and coordination skills

· Excellent communication and interpersonal skills

· Business proficiency in English, both written and verbal

· Proficient in MS Excel

· Previous sales/purchasing operations experience will be an advantage

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

Advance Packaging Integration – Senior Engineer (Package Development Engineering, Silicon Technology Package Integration) (PDE STPI)

We are looking for a Package Silicon Integrator in Package Development Engineering (PDE) Senior Engineer who will lead and drive Micron’s Packaging Technology Development Projects meeting Time to Market (TTM) business unit needs as well as meeting performance targets for Thermal, Electrical, Mechanical, Reliability and Cost. You will collaborate with Micron’s multi-functional team that include Product Development, Wafer level process, Assembly, Test, Manufacturing and Global Quality. Together, we will be responsible for the designing Test Vehicle Development Strategy, and execution to definition, development, and delivery of state-of-the-art product/packages that will shape the future of advanced computing, automotive and mobile products.

Responsibilities will include, but are not limited to:

• Drive package technology integration activities for the silicon test chip development projects and support NPIs to keep roadmap items on track to meet “go to market” timelines.
• Coordinate core team in Development and NPI space of advanced 2.5D/3D packages and standard packaging to drive material and BOM choices, body sizes, manufacturability, and package constructions to achieve acceptable Design for Manufacturing (DFM) and Design for Reliability (DFR) requirements.
• Evaluate wafer design inclusive of bondpad, scribe, pillars/bump and polyimide, and drive materials and BOM choices such as die thickness and mold compound to meet chip package interaction requirements.
• Drive materials characterization from both package and die components to understand chip package interaction mechanism using TMA, DMA, nanoindentation, and packaging mechanical and thermal stress stimulus.
• Drive novel solutions with silicon design and product teams to recommend the optimum package solutions to meet electrical, mechanical (1st, 2nd, and 3rd level interconnect), thermal, reliability, cost, and other system level requirements.
• Interface closely with multi-functional team that include Product Development, Wafer Level Process, Assembly, Test, Manufacturing and Global Quality and manage the product/package to mass production.

Requirements:

• Bachelor/Masters of Science in physics, materials, mechanical, chemical, or electrical engineering. MS or PhD preferred
• 5+ years of relevant experience in semiconductor manufacturing or a related field, with hands-on experience in semiconductor packaging or Frontend processes, specifically in technology on
• Appreciation for Structured Problem Solving
• Ability to interpret die-, package-, and system-level design and simulation (thermal/mechanical/electrical) methodologies and results
• Knowledge in Chip Package Interaction (CPI)
• Experience and working knowledge with 2.5D/3D heterogeneous integration technologies such as WLFO, SoIC, CoWoS, WoW, InFO, and other chiplet/SiP architectures is a plus
• Experience with wafer bumping, package assembly, substrate technology, BOM selection, testing and product development lifecycle
• Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical partners
• Demonstrated leadership experience in guiding multi-functional teams and driving technical excellence

Keen on the role? Apply now!

We are looking for an experienced Business Development Manager to drive regional sales of Electric Motors & Prognostic Health Management system. The ideal candidate will have a strong track record in sales, with expertise and experience in selling similar motor products. This role is to expanding our market presence in Singapore and neighbouring countries.

Key Responsibilities

• Develop and execute strategic sales plans to achieve revenue targets for Industrial Electric Motors & Services within Singapore and the region.
• Identify and pursue new business opportunities and potential clients across various industries.
• Leverage in-depth product knowledge to understand customer needs and present tailored motor solutions.
• Build and maintain strong relationships with clients, ensuring a high level of customer satisfaction and ongoing business development.
• Analyze market trends and competitor activities to optimize sales strategies.
• Prepare and deliver sales presentations, proposals, and product demonstrations to prospective clients.
• Handle sale enquires and generate quotations, negotiate contracts and close sales, ensuring alignment with company goals and profitability.
• Provide after-sales support and maintenance services, collaborate with the technical and service teams to enhance product offerings and optimize sales strategies.

Qualifications

• Diploma in Engineering or a related field.
• Minimum of 3 years of experience in sales, with a focus on motors, online vibration monitoring system, or similar industrial products.
• Proven track record in regional sales, particularly within Singapore and neighbouring markets.
• Demonstrated ability to meet or exceed sales targets.
• Strong knowledge of Electric Motors, Vibration monitoring and related technologies.
• Excellent communication, negotiation, and interpersonal skills.

Advance Packaging Integration – Senior Engineer (Package Development Engineering, Silicon Technology Package Integration) (PDE STPI)

We are looking for a Package Silicon Integrator in Package Development Engineering (PDE) Senior Engineer who will lead and drive Micron’s Packaging Technology Development Projects meeting Time to Market (TTM) business unit needs as well as meeting performance targets for Thermal, Electrical, Mechanical, Reliability and Cost. You will collaborate with Micron’s multi-functional team that include Product Development, Wafer level process, Assembly, Test, Manufacturing and Global Quality. Together, we will be responsible for the designing Test Vehicle Development Strategy, and execution to definition, development, and delivery of state-of-the-art product/packages that will shape the future of advanced computing, automotive and mobile products.

Responsibilities will include, but are not limited to:

• Drive package technology integration activities for the silicon test chip development projects and support NPIs to keep roadmap items on track to meet “go to market” timelines.
• Coordinate core team in Development and NPI space of advanced 2.5D/3D packages and standard packaging to drive material and BOM choices, body sizes, manufacturability, and package constructions to achieve acceptable Design for Manufacturing (DFM) and Design for Reliability (DFR) requirements.
• Evaluate wafer design inclusive of bondpad, scribe, pillars/bump and polyimide, and drive materials and BOM choices such as die thickness and mold compound to meet chip package interaction requirements.
• Drive materials characterization from both package and die components to understand chip package interaction mechanism using TMA, DMA, nanoindentation, and packaging mechanical and thermal stress stimulus.
• Drive novel solutions with silicon design and product teams to recommend the optimum package solutions to meet electrical, mechanical (1st, 2nd, and 3rd level interconnect), thermal, reliability, cost, and other system level requirements.
• Interface closely with multi-functional team that include Product Development, Wafer Level Process, Assembly, Test, Manufacturing and Global Quality and manage the product/package to mass production.

Requirements:

• Bachelor/Masters of Science in physics, materials, mechanical, chemical, or electrical engineering. MS or PhD preferred
• 5+ years of relevant experience in semiconductor manufacturing or a related field, with hands-on experience in semiconductor packaging or Frontend processes, specifically in technology on
• Appreciation for Structured Problem Solving
• Ability to interpret die-, package-, and system-level design and simulation (thermal/mechanical/electrical) methodologies and results
• Knowledge in Chip Package Interaction (CPI)
• Experience and working knowledge with 2.5D/3D heterogeneous integration technologies such as WLFO, SoIC, CoWoS, WoW, InFO, and other chiplet/SiP architectures is a plus
• Experience with wafer bumping, package assembly, substrate technology, BOM selection, testing and product development lifecycle
• Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical partners
• Demonstrated leadership experience in guiding multi-functional teams and driving technical excellence

Keen on the role? Apply now!

We are seeking a motivated and innovative Post-Doctoral Research Fellow to conduct cutting-edge research in AI safety. The candidate will focus on curating data, aligning AI models, identifying gaps between academic research and industry practices, and developing tools to govern AI behavior. The position also requires regular publication in top-tier AI conferences and journals. This role offers the opportunity to contribute to the development of responsible and safe AI systems while working at the forefront of AI research.

Key Responsibilities:

1) Data Curation and Management: Collect, clean, and organize datasets relevant to AI safety research. Ensure data quality and accessibility for model training and evaluation.

2) Model Alignment and Development: Align AI models with safety objectives, ethical guidelines, and societal norms. Design and evaluate methods to prevent unsafe or unintended AI behavior.

3) Gap Analysis: Identify gaps between current AI safety research and industry practices. Propose actionable solutions and frameworks to address these gaps.

4) User Interviews and Research: Conduct interviews and surveys with stakeholders (users, developers, policymakers) to understand real-world challenges in AI safety. Integrate findings into research and tool development.

5) Tool Development: Develop practical tools, frameworks, or methodologies to govern and evaluate AI behavior. Prototype solutions that enhance AI interpretability, robustness, and compliance with ethical guidelines.

6) Research and Publication: Conduct high-quality, novel research in AI safety. Publish findings regularly in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI safety, ethical AI, alignment, or related areas.
• Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience with data curation, analysis, and cleaning.
• Track record of publications in top AI/ML conferences and journals.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience in user research, including conducting interviews and surveys.
• Familiarity with fairness, robustness, and interpretability in AI.
• Knowledge of industry trends and challenges in deploying safe AI systems.
• Ability to collaborate across interdisciplinary teams and with external stakeholders.

We are actively seeking a highly experienced Project Manager with a minimum of 5 years or more in-depth expertise in marine foreshore structures. The successful candidate will demonstrate proficiency in marine piling and civil works, overseeing projects from initiation to completion while ensuring adherence to quality standards and safety regulations.

Responsibilities:

Lead and manage marine foreshore structure projects, specifically focusing on marine piling and civil works.

Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, and budget requirements.

Utilize specialized knowledge in marine construction techniques, including but not limited to pile driving, seawall construction, and other marine infrastructure projects.

Monitor and track project progress, addressing any issues or risks related to marine engineering and construction.

Collaborate with clients, engineers, and other stakeholders to gather project requirements, set expectations, and communicate project updates.

Manage project budgets, ensuring efficient allocation of resources and adherence to financial targets.

Demonstrate expertise in environmental considerations and regulatory compliance associated with marine construction projects.

Foster a collaborative and safety-focused team environment, promoting open communication and knowledge sharing.

Qualifications:

Bachelor's degree in Civil Engineering, Marine Engineering, or a related field.

Minimum of 5 years or more of hands-on experience in project management within the marine foreshore structure sector.

Proficient in marine piling techniques and civil works associated with marine construction.

Strong knowledge of project management methodologies and tools.

Excellent leadership, communication, and interpersonal skills.

Ability to prioritize and manage multiple marine construction projects simultaneously. Familiarity with environmental regulations and permitting processes related to marine construction projects.

The managing 's responsibilities include developing and implementing strategic plans and

company policies, maintaining an open dialogue with stakeholders, and driving organizational

success.

-To be successful as a manager you should be able to manage and advance a business's strategic

objectives. Ultimately, an outstanding Manager is an exceptional leader, drives a company's

strategic visions, and is adept at crisis management

-Maintaining positive and trust-based relations with business partners, shareholders,

Set goals for performance and deadlines in ways that comply with company’s plans and vision and communicate them to subordinates

· Organize workflow and ensure that employees understand their duties or delegated tasks

· Monitor employee productivity and provide constructive feedback and coaching

· Receive complaints and resolve problems

· Maintain timekeeping and personnel records

· Pass on information from upper management to employees and vice versa

The Operational Technology (OT) Solution Consultant role is a customer facing domain expert who will drive innovative business solutions with our customers, by applying technical and business skills.

This role is a Pre-Sales/Sales Engineering/Solution Consulting role. You will partner with sales, solution consulting and the rest of the ServiceNow ecosystem to achieve customer success through thought leadership and driving awareness. The role takes a consultative approach with our customers and prospects to discover and map business outcome-driven solutions.

• Create and contribute in Sales campaigns focused on Operational Technology
• Serve as a thought leader on Operational Technology for ServiceNow
• Strong alignment with Product Management and Engineering teams on roadmap and field feedback from customer and industry lens
• Create and support programs that enable Solution Consultants to demonstrate the value of Operational Technology
• Demonstrations of solutions, both standard and tailored to prospects and existing customers around Operational Technology and ServiceNow
• Scoping and delivering Proof of Concept/Proof of Value engagements with prospects.
• Supporting Marketing events – user conferences, trade shows, webinars, etc.
• Staying current on competitive analysis and understand how to best position ServiceNow solutions.
• Understanding business and technical problems addressed by the product including key regulations, business drivers, evolving business needs, licensing models, etc.