Total 21,515 Others/Any job vacancies in potong pasir north east

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Responsibilities:-

• We are looking for Software Engineers & Developers to enhance our in-house product offerings and build the next generation Med-Tech applications.
• You will work with a team of Developers, Designers and Product Managers throughout the software development cycle.

Requirements:-

• Self-Taught, Fresh-Grads and Experienced Professionals all welcome. As long as you can show a good portfolio of work/personal projects we are chill.
• Javascript nerds will get an edge.
• Passion for leveraging technology to help solve healthcare issues and improve the quality of lives of both medical professionals and patients.
• Be able to demonstrate technical abilities in personal/professional projects is critical
• Stickler for best practices and keeping your code clean is a plus
• Advantageous: Javascript (NodeJS, VueJS, ReactJS jQuery), PHP (Laravel), HTML/CSS Frameworks (Bootstrap), MySQL/MariaDB, cloud services (AWS), serverless concepts, Docker containers, Micro Services, CI/CD, general IT security concepts and data privacy awareness.

Responsibilities:

• Responsible for contributing to engage the local ecosystem in the deployment of a Green Operations project.
• Training & Understanding of the baseline Green Operations solution being deployed in EU
• Work closely with the Business Development & Key Account teams during technical and strategic discussions with key stakeholders (Regional Airlines and ANSPs) to understand requirements & build clear problem statements.
• Coordinate with the Green Operations team in Toulouse to define this project & synchronize with the existing portfolio of Green Operations solutions.
• Develop a regional instance of the solution with both backend & frontend features specific to the requirements identified above.
• Perform data analysis, run simulations and the climate impact assessment (using and adapting existing dedicated tools) to derive key conclusions and measurable KPIs
• Documentation of the Project & Communication with external & internal stakeholders

Requirements:

• Min. 3 Years of relevant working experience
• Bachelors degree in either Electronics / Software or Aerospace Engineering
• Good knowledge / Background of Flight Operations
• Demonstrate the sensitivity to understand and define key customer requirements
• Experienced using Python language
• Possesses proven skills in data engineering and data visualization and using simulation tools
• Sense of responsibility and ability to do pro-active work
• Ability to support technical and operation discussions with external stakeholders

Other information:

• Working Location: One North
• Working Hours: Monday - Friday, 9am - 6pm

Roles & Responsibilities

• Report to and assist the Operations Manager with the entire catering operations
• Assembling food items / equipment according to the event orders
• Loading and unloading of equipment and food
• Punctual delivery of food and set up of events
• Support the logistics and provide catering services including set up, fulfill service staff requirements when needed for all types of events.
• Responsible for proper care of catering equipment.
• Ensure timely delivery of all events as per the delivery schedule.
• Liaise with clients on set-up requirements.
• Ensure that vehicles are in good working condition and to maintain cleanliness of vehicle
• Exhibit excellent customer service
• Understand and comply with the mandatory hygiene standards and requirements
• Perform any other duties assigned by Superior

REQUIREMENTS

• Must possess a Class 3 driving license with clean records and good driving skills
• At least 1 year(s) of working experience in the related field
• Must be physically fit and strong as the job requires carrying of heavy events equipment.
• Able to work in a fast paced environment.
• Excellent customer service and able to interact well with clients
• Excellent leadership, interpersonal and communication skills.
• Able to work under pressure and a good team player.
• Able to work independently and yet adhere to the strict timelines.
• Willing to work shifts, weekends, and public holidays
• Experience in the set-up of buffet events will be advantageous.

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Degree in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 2 years of warehouse operations
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

Responsibilities:

Pre Contract Stage

• Quantity take off and cost comparison for main work trades
• To assist in establishing client’s requirements and undertaking feasibility studies
• To monitor relevant planning authority web sites to identify work opportunities (tender notice)
• To complete and submit of PQ document
• To access tender documents and ensure sufficient information available for tender preparation
• To request for quotations and assessment
• To prepare tender documents for submission
• To submit tenders and follow up for clarification

Post Contract Stage

• Understand and reasonably interpret contract document & drawing
• Understand contract provision thoroughly and advise the risk/areas of concern
• To perform measurement and cost breakdown
• To prepare payment certification to sub-contractor/ supplier
• To prepare payment claim to client
• To identify and evaluate variation work

Requirements:

• Diploma / Degree in Quantity Surveying or equivalent

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
• Designing and conducting computational experiments to evaluate the performance of machine learning models
• Collaborating with other researchers to interpret results and translate findings into clinical applications
• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

Qualifications

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field
• Strong programming skills in Python, R, or other relevant languages
• Strong mathematical and/or statistical background
• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent analytical and problem-solving skills
• Good written and communication skills

Job Description

Job Summary:

• Develop and plan training modules in line with latest market trends.
• Execute field coaching, including Basic trainings, Seasonal trainings, and various follow-up trainings to Therapists and Sales Consultants, to improve business performance, customer service and enhance brand image.
• Assess the effectiveness of the training initiatives through evaluation on a regular basis to identify coaching opportunities through regular feedback and reporting and conduct strategic follow up coaching to ensure successful roll out of training initiative.
• Ensure Therapists and Consultants are equipped with the skills required to achieve Brand’s KPI and ensure consistency in customer experience.

Job Responsibilities:

• To adapt training materials in order to fit the context and enhance content of existing training support documents as and when required.
• Deliver training to therapists in line with the sales cycles and training priorities.
• Deliver induction and specific training to grow and develop the brand.
• Develop and motivate Therapists and Sales Consultants through training and coaching.
• To contribute to training projects, training needs, evaluation analysis, update of training programs, action plan on training and coaching
• To be active on the field to observe customer purchase behavior and interact with the Sales consultants and customers
• Identify and provide feedback for future training needs.
• Conduct beauty product knowledge training and treatment protocol.
• To furnish the company with the latest beauty industry information; eg competitors’ activities and beauty care trends, treatment, products etc.
• Work closely with management team on training needs.
• To perform any other assigned job duties as per assigned by the management.

Job Requirements :

• With minimum 2 years of experience as a Trainer, ideally in Aesthetic face and body treatments.
• Certified by CIDESCO, CIBTAC, ITEC, WSQ ACTA Full Certificate, WSQ SOA or any other relevant qualifications in beauty and aesthetic.
• Strong experience in training including delivery of training, ability to coach with a strong sense of detail and a strong focus on growing sales capabilities.
• High level of competence in presentation and excellent verbal and written communication skills.
• Strong leadership and people management skills.
• Confidence in presenting and influencing at all levels.
• Proficient in English and Chinese to communicate well with clients
• Highly driven, energetic, flexible and team spirited.
• Proactive and able to work under pressure and meet tight deadlines

4 days work in a week

Specific Responsibilities:

*Conduct class lessons using our in-house curriculum

*Manage student progress & achievement

*Provide feedback to parents

*Maintain & build relationship with parents & students

*Work closely with teaching support team

Competencies:

*Proficient in Microsoft Office (Word, Excel & Powerpoint)

*Excellent delivery and communication skills

*Patience and Passionate with students

*Possess strong organisation skills

*Good interpersonal skills

Responsibilities

• You must be able to communicate with all areas of the company.
• You will work with the Product Engineering team and Product Owners in helping to define product features that meet customers’ deployment and usability requirements.
• You will work with the Marketing team in helping them to understand the positioning, key benefits, and target customers of your products.
• Work with Marketing and Product Owners to contribute to product materials, including presentations, case studies, web content, whitepapers and more.
• You will also serve as the internal and external evangelist for your products, including communication with the sales channel and key customers.
• Conduct market research, customer requirements identification, competitive analysis and industry trend studies.
• Manage market requirements ensuring their refinement and continuous assessment with the Product Engineering team.
• Help to define and build a global roadmap based on key market trends and compelling opportunities that differentiates i-Sprint in the digital identity market.
• Work with Marketing, Sales, Product Engineering, and Professional Services teams to develop and lead internal content including sales enablement training, FAQs, and cheat sheets to ensure i-Sprint is addressing all enablement needs of the partners/distributors/resellers.
• Regularly work with strategic partners, sales management, and marketing counterparts to discuss and track progress on business and marketing plans and any open issues.
• Represent i-Sprint as product expert at industry, channel, partner, and customer events.

Education and Experience

• University graduate with a major in Information Technology, Computer Science, or related disciplines and a minimum of 10 years of experience in IAM with emphasis on authentication and mobile security solutions.

Knowledge and Skills

• Technical aptitude, curiosity, and a keen understanding of the IAM and mobile ecosystem and its technical audiences.
• Strong experience as a product manager with a deep understanding of the motivations of technical audiences
• Solid knowledge about product development life cycle and experience involved at various stages including requirement review, UI/UX design, test case review, and production support.
• Strong ability in analyzing data to derive insights and make decisions
• A proven track record of the ability to understand technical personas and build adoption and engagement of new and existing product lines
• Knowledge in mobile/e-banking applications, software/platform architecture, market research, etc.
• Excellent cross-functional collaboration, stakeholder management, and project management skills
• Experience crafting compelling positioning, messaging and thought leadership content
• Ability to effectively influence both internal and external stakeholders across all levels of the organization
• Self-motivated, excellent communication, analytical, logical thinking, problem solving, interpersonal, and writing skills
• Willing to travel across the Asia Pacific region

We offer 5 days of work, medical benefits, and an attractive remuneration package.

Interested parties please send us your detailed resume with the present, expected salary and availability date.

Supervisor Responsibilities

• 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

• Prepare and submit performance reports

• Decide on reward and promotion based on performance

• Hire and train new employees

• Ensure adherence to legal and company policies and procedures and undertake disciplinary actions if the need arises

Requirements

• Proven experience as supervisor or relevant role

• Familiarity with company policies and legal guidelines of the field

• Ability to learn a variety of job descriptions

• Excellent communication and interpersonal skills

• Outstanding organizational and leadership skills

• Good knowledge of MS Office

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science is looking for a dynamic and motivated individual to join our growing and enthusiastic administrative team. The department was established in 1998 and has been the top department in statistics in Asia for many years. Our mission is to advance research and train students and working adults in the areas of statistics and data science to prepare and upskill them for jobs in academia, government, and industry. Key responsibilities include, but are not limited to the following -

— Propose best online learning approaches and solutions to lecturers.

— Collaborate with lecturers to design and produce eLearning content that will comprise videos, animation, and other instructional technologies.

— Conceptualise, design, and develop engaging teaching materials with appropriate tasks, learning activities and assessments to meet intended learning objectives.

— Produce effective storyboards to convey idea to stakeholders.

— Support lecturers in the production of high-quality teaching materials, in particular production of videos, from planning stage, to recording to final editing.

— Perform functional testing of eLearning courseware to ensure it meets NUS academic quality.

— Manage and curate the department’s digital teaching materials repository.

— Monitor trends in online learning design and evaluate relevance and usefulness of latest trends to current practices.

— Monitor trends in learning technologies that support online learning and online learning design.

— Undertake additional responsibilities and ad-hoc tasks to support the department.

Qualifications/Requirements/Other Info

• At least a good bachelor’s degree in any discipline from a reputable university.

• Good English proficiency.

• Some basic understanding of concepts from statistics and data science is desirable.

• IT savvy, proficient in video editing and MS Office applications, and openness to get acquainted with other software.

• At least 1 year of relevant working experience.

• Energetic, self-motivated individual who thrives in a fast-paced, results-oriented work environment.

• Strong time management and organisational skills.

• Good interpersonal skills to engage with lecturers.

• Strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.

• Resilient, resourceful, possesses good problem-solving and critical-thinking skills.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Description:

Provides support to the accounting team and assists in maintaining accurate financial records, processing transactions, and ensuring compliance with financial policies and procedures.

Key Responsible:

Account Receivables: Process and record invoices and receipts, attend to customers’ queries and emails. Monitor and follow up on outstanding payments.

Account Payables: Monitoring invoices credit term and ensure the payments to be ready on time. Attend to queries from vendors and respective ordering teams.

Financial Data Entry: Enter financial data into accounting software or spreadsheets, ensuring accuracy and completeness. Maintain organized and up-to-date financial records and files for easy retrieval and reference.

Financial Reporting: Assist in the preparation on financial reports, statements and schedules. Compile data and assist in generating regular and ad-hoc reports as required by the management. Provide support in compliance with all statutory requirement and other reporting e.g. GST reporting, month-end closing, year-end closing, corporate tax filing etc.

Documentation and Filing: Maintain organized and systematic filing systems for financial documents. Retrieve and provide requested documentation for audits or inquiries.

Ad hoc duties assigned by supervisor.

Qualifications and Skills:

High school diploma or equivalent qualification.

Associate's or bachelor's degree in Accounting or Finance is a plus.

Prior experience in an accounting or finance support role is preferred.

Basic understanding of accounting principles and financial processes.

Proficiency in using accounting software and tools (e.g., QuickBooks, Excel).

Attention to detail and accuracy in data entry and record keeping.

Strong organizational and time management skills.

Ability to work collaboratively in a team environment.

Basic knowledge of relevant laws and regulations (e.g., taxation, financial reporting).

Familiarity with general office equipment and computer applications.

Please submit the application if you're interested. Calls and emails wouldn't be considered.

Dr Paws Vet Care is looking for senior veterinary nurses/assistants!

We are a new veterinary clinic located in the east part of Singapore. We aim to be a place where everyone works hard but still have a great time together. Friendly banter is allowed but paw-litics will be frowned upon.

We see dogs, cats and pocket pets. We also offer acupuncture services.

We are looking for EXPERIENCED full-time veterinary nurses with the following qualities.

• Only Singaporeans or Singapore PRs
• At least 2 years experience as a veterinary nurse
• Ability to commit for at least a year, the longer the better!
• Self-motivated and hardworking individuals with the ability to work as a team.
• Ability to multitask.
• Willingness to learn and take instructions
• Eager to learn attitude and be open to feedback.
• Willing to constantly upgrade on your veterinary nurse knowledge and skills.
• Love for animals.
• Fluent in English.
• Friendly, polite and able to provide good customer service

Your job scope will involve

• Interaction with clients both face-to-face and over the phone.
• Rotation work between being a receptionist and assisting vets with handling animals and surgeries.
• Dispensing medications
• Care for hospitalized animals.
• Maintaining clinic equipment and cleanliness, including general cleaning duties
• Other Ad-Hoc duties

Working hours:

• Clinic operating hours: Tues-Sat 10am-8pm. Closed on public holidays.
• No overnight duties
• 5 day work week
• 1 weekday and 1 weekend day off per week

Interested applicants please send your resume, expected salary and available start date to [email protected].

The Assistant Logistics Manager will support the Operations Team in planning, coordinating, and managing all aspects of the supply chain and logistics operations. This role involves overseeing the day-to-day activities, analyzing performance metrics, and implementing improvements to enhance efficiency. The Assistant Logistics Manager will also play a key role in team management, vendor relationships, and ensuring compliance with relevant regulations.

Roles and Responsibilities

• Work closely with Operations Team to oversee the planning and managing of Logistics Operations to ensure the delivery of logistics service that meet customer requirements.
• Supervise and lead the logistics team in the daily activities and training needs.
• Coordinate with internal stakeholders to ensure effective support for the inventory items.
• Ensure logistics processes follow established management system and policies.
• Follow up with suppliers on materials and quantity requirement revisions, rate adjustments/ rebates, and the provision of incorrect materials.
• Establish and liaise with freight forwarder for all import and export activities, rates and regulatory requirements.
• Responsible for the continuous improvement of logistics operations and safety performance.
• Ensure timely system updates of Logistics transactions and maintain accurate records.
• Review and analyse logistics performance against targets, benchmark and service agreements.
• Prepare and maintain accurate records and documentation for all logistics activities.
• Any other matters delegated by superiors.

Qualifications:

• Bachelor's Degree or Diploma in Logistics, Supply Chain Management, or a related field.
• Previous experience in logistics or supply chain management.
• Strong leadership and team management skills.
• Analytical and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Knowledge of logistics software and tools.
• Familiarity with supply chain regulations and compliance.
• Detail-oriented with a focus on process improvement.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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

Job Title: Recruiter

Job Description:

As a Recruiter, you will play a vital role in our talent acquisition efforts, including:

• Sourcing and screening candidates.
• Conducting interviews and assessments.
• Managing candidate pipelines.
• Collaborating with hiring managers.
• Ensuring a positive candidate experience.
• Contributing to recruitment strategies.

Qualifications:

• Proven recruiting experience.
• Strong communication and interpersonal skills.
• Excellent organizational and time management abilities.
• Proficiency in recruitment software/tools is a plus.
• Passion for finding top talent.

Why Join Us:

• Competitive compensation and benefits.
• Opportunities for professional growth.
• Collaborative and innovative work environment.
• Impactful role in shaping our team.

How to Apply:

If you're passionate about connecting talent with opportunity, send your resume and a brief cover letter to [[email protected]].

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

This is a new role within our Operations Team where you will be responsible for autonomous vehicle operations in our customer sites where you will be responsible for Remote Vehicle Operations, Maintenance and Systems testing. where you will be cross-deployed to both the testing and operations team. This role will operate on a shift-based schedule. You will play a crucial role in ensuring the safe and efficient operation of autonomous vehicles, monitoring and controlling real-time vehicle operations, conducting general maintenance and executing testing procedures.

On a day to day, you will be collaborating with cross-functional teams while integrating new technologies, troubleshooting technical issues and contributing to continuous improvement initiatives. Your expertise will be vital in the success of maintaining compliance with safety regulations, optimizing vehicle performance, and fostering innovation in autonomous vehicle operations.

Role responsibilities

Vehicle Maintenance and Testing.

• Conduct diagnostics and maintenance on autonomous vehicles.
• Collaborate with engineering teams to integrate new technologies and features into autonomous vehicle systems.
• Execute testing procedures for autonomous vehicle systems in an operational environment.
• Provide technical support to on-site and remote teams during autonomous vehicle operations.
• Troubleshoot and resolve technical issues promptly to minimize downtime.

Operations Control:

• Monitor and control the real-time operations of autonomous vehicles.
• Execute and manage autonomous vehicle operations to ensure safe and efficient performance.
• Respond promptly to system alerts and emergencies, taking corrective actions as necessary.

Shift Operations:

• Work on a shift-based schedule to ensure 24/7 coverage for autonomous vehicle operations.
• Collaborate with cross-functional teams to maintain continuous and reliable system functionality during all shifts.

Safety and Compliance:

• Ensure strict adherence to safety protocols and compliance with regulatory requirements.
• Collaborate with safety and compliance teams to implement and maintain best practices.

Required experience

• Diploma in relevant field or equivalent experience.
• Proven experience in vehicle/transport operations and testing.
• Strong analytical and problem-solving skills.
• Experience with vehicle/transport technologies and systems.
• Hands-on experience in mechanical systems and electrical/electronic wiring
• Hands-on experience with Linux OS environment.
• Knowledge and background in Robotics/Automation.
• Hands-on experience in Bash, Python, C++ and ROS is a plus.
• Possession of a Class 3 Driving licence is a plus.
• Excellent communication and collaboration skills.
• Ability to adapt in a shift-based and 24/7 working environment.

Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kong Chian Natural History Museum (LKCNHM) was established in 2015, but its collection of natural history specimens spans more than two centuries, and continues to increase. Apart from physical specimens, it manages a growing collection of digital resources including images, publications, and other types of digital records which are necessary for research and education. We are seeking a dynamic and suitably qualified individual to lead in, suggest solutions and implement systems/strategies to manage this growing digital footprint and to work with LKCNHM subject specialists to curate and archive the large amount of scientific and other data, and information generated through research on biodiversity in Southeast Asia. The individual will play a pivotal role in ensuring that scientific data and information is managed in such a way that allows easy and smooth access to users, thus supporting the advancement of research and education.

Duties and responsibilities include, but are not limited to the following -

1) Scope and develop a platform to serve as a biodiversity information gateway for Singapore biodiversity information.
2) Assist with all museum-wide aspects of information and data relating to the collections: organizing information, storage, preservation and use of data on the collections
3) Relate and link various databases and other digital resources that come under LKCNHM to be accessible through the biodiversity information gateway.
4) Curate and/or organise the digital collections at LKCNHM, including new genomic, imaging, specimen, collection and other data that will continuously be generated.
5) Specific duties include:

• Setting up and managing core digital platforms/facilities within the LKCNHM.
• Maintaining the biodiversity information gateway for public delivery of data (for use by researchers, educators or interest groups for example).
• Managing and enhancing the integrity and accuracy of the digital collection information systems, including the collection database, and other digital records.
• Working with museum staff to improve specimen metadata, such as through photography, geo-referencing, and linking with host specimen records; and to support the on-line presence of the collection, contributing to the LKCNHM website.
• Facilitating data contribution to national and international data repositories.
• Managing data storage and preservation, including local servers and cloud services, and maintaining an appropriate back-up strategy.
• Recruiting and supervising interns and/or student assistants within the digital collection and biodiversity informatics; ensuring appropriate training, orientation, evaluation and discipline.
• Developing and preparing short monthly and annual reports and project reports for the digital collection.
• Work with the Museum curators and Research Associates to develop and implement policies, standards, and procedures (e.g. developing standard operating procedures for accessioning and databasing of specimen and associated data).
• Other related duties as assigned.

Qualifications/Requirements/Other Info

1) BSc or above in data science or digital management.
2) Two years of working or training experience on data management or similar related work.
3) Strong English writing and verbal skills.
4) Documented ability to multi-task and work well in a team.

Desirable skills:
1) Able to manage multiple stakeholders.
2) Able to manage projects within tight timeline.
3) Some understanding of specimen imaging and digitization.
4) Singapore class 3 driving licence is advantageous.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Description:

As a Cloud Site Reliability Engineer (SRE), you will play a key role in ensuring the reliability, scalability, and performance of our cloud-based systems and services. Working closely with cross-functional teams, you will proactively monitor, optimize, and troubleshoot cloud infrastructure, applications, and services to minimize downtime and deliver a seamless user experience. Your expertise in cloud technologies and dedication to automation and best practices will contribute to the stability and growth of our cloud operations.

Key Responsibilities:

· Reliability and Availability: Implement best practices for high availability and disaster recovery across cloud environments.
Monitor system performance, availability, and incident response to ensure minimal downtine.
Create and maintain robust monitoring and alerting systems.

· Automation and Infrastructure as Code (laC):Develop and maintain automation scripts and Infrastructure as Code (laC) templates for provisioning and managing cloud resources.
Automate routine tasks to increase operational efficiency and reduce manual interventions.

· Scalability and Performance Optimization: Collaborate with development teams to design and implement scalable and performant cloud architectures.
Conduct performance analysis and tuning to optimize system response times and resource utilization.

· Incident Response and Troubleshooting: Participate in incident response activities, including root cause analysis, resolution, and post-incident reviews.
Troubleshoot complex issues across the cloud stack and coordinate with relevant teams for resolution.

· Security and Compliance: Implement security best practices and compliance measures in cloud environments.
Collaborate with security teams to ensure data protection and compliance with industry standards.

· Capacity Planning: Monitor resource utilization and forecast capacity requirements to support business growth.
Implement scaling strategies to accommodate changing workloads.

· Documentation and Knowledge Sharing: Maintain comprehensive documentation of cloud configurations, processes, and procedures.
Share knowledge and best practices with team members and contribute to a culture of continuous learning.

Qualifications/Requirements:

· Bachelor's Degree in Computer Science, Information Technology, or a related field.

· Proven experience in cloud operations, SRE, or a related role.

· Proficiency in cloud platforms such as AWS, Azure.

· Certification in cloud platforms (e.g. AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).

· Experience with containerization and orchestration tools (e.g. Docker, Kubernetes).

· Knowledge of infrastructure monitoring and logging tools (e.g. Prometheus, Grafana. ELK stack).

· Strong scripting and programming skills (e.g. Python, Bash, Go).

· Familiarity with CI/CD pipelines and automation tools (e.g. Jenkins, GitLab CI/CD).

· Experience with GCC (Govt on Commercial Cloud).

· Excellent problem-solving and communication skills.

· Ability to work collaboratively in a cross-functional and fast-paced environment.

This will be 6 month contract based in Singapore

Job Description:

• Engage directly with the Customer to prepare, process and close Statements of Work (SOWs) and Work Orders (WO) associated with work on to be performed by company on behalf of the Customer
• Navigate company's pricing tool, budgeting tools
• Partner in-country sellers in Singapore and across the region when required
• Business segment: Unified supports, enterprise only

Candidate Requirements:

• At least 2 years of sales service (sales support or sales operations)

JOB DESCRIPTION

The candidate is expected to contribute to IME in:

1. Electrical test on 12" wafer for IV-CV measurement

2. CSAM operation

3. ESD test

4. Reliability chambers operation

5. Other lab related paper work

JOB REQUIREMENT

1. Bachelor’s Degree in EE & EEE background

2. Able do some computer programming

3. Ability to work effectively and independently

4. Ability to communicate and interact with staff and industry personnel successfully

5. Able to do some shift work requirement occasionally

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

- To generate documents based on site progress and operation, eg, Method Statement, Risk Assessment. There are past references, content and template to follow

- To submit Shop drawing, As Built Drawing as per schedule.

- To coordinate among site, office, and various function to ensure timely submission of documentation.

- Hard working, detail orientated

- Knowldge in word document, excel

- Added advantage if u know Aconex (training provided)

- Good career advancement

- Experienced in construction field

Kindly submit your resume with expected salary, recent photo to [email protected]

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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