Total 3,992 Education / Training job vacancies in Tanah Merah, Harbourfront and Marina Bay, North East

Position: Trade Operations Assistant

• Salary: $ 3,000 - $ 3,300
• Working Location: Orchard Road, Ngee Ann City Tower
• Working Hour: Monday - Friday (9am - 6pm)

Requirements:

• Diploma / Degree in Logistics or equivalent.
• Proficient in MS Office Applications.
• Experience in preparing Bank Letter of Credit negotiation and Shipping documents.

Job Description:

• Liaise closely with both our Customers and Suppliers regarding enquiries and offers.
• Preparation and execution of Sales & Purchase Contracts.
• Preparation of Letters of Credits for issuance (both import and export L/Cs).
• Experience in preparation, issuance and negotiation of Letter of Credits.
• Preparation of Import and Export Shipping Documentation for Bank L/C negotiation.

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Summary

Day to day classroom management and professional practice in accordance with the Mission and policies of ISS International, Singapore.

Responsibilities

• Delivery of the curriculum in accordance with the guidelines stated in the ISS Curriculum Document.
• Participation in curriculum review and development, extra-curricular and activity week programs/Week Without Walls, ISS pastoral care program (homeroom duties, reporting procedures, student guidance, liaison with ISS Student Services), ongoing school development programs and school's accreditation program.
• Support of the ISS Strategic Plan.
• Provide support for the ISS Marketing department initiatives.
• Provide support for the ISS Admissions department initiatives.
• Implementation of the ISS Discipline Policy.
• Regular communication between parent/guardian and the school.
• Relief teaching, student supervision and as required by the Academic Directors.
• Attend and participate in all staff meetings, In-Service Day programs, relevant training programs and in school events (Parents Evenings, Concert, Graduation, etc).
• Ongoing professional training to remain up to date with educational developments.
• Awareness of evacuation and safety procedures and its communication to students as directed by the ISS Safety Officer.
• Any ad-hoc academic duties as requested by Academic Directors.

Requirements

• You should possess a Degree or relevant professional qualification, teaching licence in educational administration.
• You should ideally possess a minimum 2 years of teaching experience in IB MYP & Diploma or in an international school environment.
• You should possess excellent organisational and interpersonal skills to liaise with parents, students and teachers
• You should possess excellent leadership skills and problem solving skills and be able to work at ease with people from different cultural backgrounds.
• You should ideally possess excellent IT skills
• You are a team player and are comfortable to work with all departments across the organisation

Period of contract: 11 November 2024 to 31 July 2025

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We encourage a culture of self-driven, intellectual curiosity, openness and problem-solving.

Responsibilities

- Optimize the search quality in poi and local service, provide TikTok's users the best search experience

- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search result metrics

- Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products.

Qualifications

Minimum Qualifications:

-Bachelor degree or above in the field of computer science or a related technical discipline

-Proficient coding skills and strong algorithm & data structure basis in C++/Python/Java

-Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

-Effective communication and teamwork skills.

Preferred Qualifications

- Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Key Responsibilities:

Plan, execute and manage all phases of accounting and business-related research and thought leadership projects congruent with the Institute's strategy. This includes:

• Generate research themes or topics. Regular horizon scanning to identify global, regional and local industry and business trends of relevance to the accountancy profession.
• Develop and roll out research proposals that would enhance the Institute’s thought leadership and advocacy position.
• Collaborate with relevant partners, industry stakeholders, and/or government agencies to drive research projects and agendas that are relevant and of interest to the accounting profession.
• Ensure timely delivery of high-quality research outputs that are produced within budget allocation.
• Identify appropriate research approaches, including prepare survey questionnaires, focus group discussion questions, interview questions, etc.
• Collect, analyse and interpret data and results.
• Present research results and write reports for publication.
• Work closely with the Communications Department to effectively publicise the research outputs via available media and communications platforms.
• Produce commentaries for CA Lab on emerging business trends and developments that impact the profession.
• Carry out any other ad-hoc assignments assigned by the immediate supervisor.

Requirements:

• Bachelor’s degree in Accountancy, Business, Finance, Economics or Political Science.
• At least 5 years of relevant experience in research-related work.
• Keen interest in latest business trends and developments. Curious and always on the lookout for areas/topics that interest the accountancy and business community.
• Strong analytical and critical thinking skills, with the ability to grasp issues and acquire knowledge in new domains.
• Analyse multiple sources of information and data to derive insights for research purposes and to write reports and commentaries.
• Excellent writing, communication and interpersonal skills. The ability to facilitate group discussions will be an added advantage.
• Highly motivated, able to work independently and multi-task in a dynamic environment.
• Team player with excellent organisational skills and attention to detail.
• Strong knowledge of MS Excel, including pivot tables, v-lookup, etc. Familiar with survey tools such as SurveyMonkey.

Roles & Responsibilities

- Teach and train individuals in the art of Muay Thai.

- Lead engaging and effective classes for students of various skill levels and ages.

- Provide technical instruction and individual feedback on techniques.

- Ensure safety and injury prevention during training sessions.

- Evaluate student progress and develop individual training plans.

- Create structured training programs tailored to different skill levels.

- Foster a positive and motivating training environment.

- Maintain equipment and facilities.

- Stay updated on industry trends and continue personal development.

- Possess strong communication, interpersonal, and organizational skills.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

Responsibilities - What You'Il Do

Lead the whole TikTok Search E-commerce business in the US, or one or more of the following core directions:

• Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

• Design and implement the end-to-end ranking system (recall, pre-rank, rank and mixed rank): Use massive behavioral data to deeply model users' personalized shopping interests. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.

• Promote the development of the ecosystem: From the perspective of the industry and merchant/seller, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

• Monitor the results and quality of the different software solutions and projects implemented in the organisation.

Qualifications

• 5+ years of industry work experience in one or more of the related fields: NLP, Ranking, Ads, Search Engine, Recommendation systems, and Machine Learning.

• Solid technical skills: Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications

• Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.

• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

• Team management experience is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Position: Flight Instructor (Indoor Skydiving)

• 5 workdays week + 1 day standby (cover MC/emergency leave)
• Working Timing: 3 shifts, rotating off days
• Salary: Basic $2,600 /month + commissions + performance bonus
• Address: Sentosa

Requirements

• Be able to work full-time and on rotating shifts.
• Training Provided

Responsibilities

• Train customers for the flight experience
• Ensure the safety of customers during flight.
• Briefing and debriefing customers before and after their flights
• Assist customers in extending their flight experience.
• Conduct one-on-one personal training sessions with members.
• Perform ad-hoc duties as required.

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Job Description:

• Research and develop new technologies for smart building applications and advanced building controls.
• Based on the R&D outcome, design the air-conditioning system using Building Energy Modeling (BEM) and programming languages such as Python to develop new technologies and install them in real buildings.
• Use digital technology, such as data science and machine learning tools, and evaluate the application effectiveness and drive improvements.
• Lead the development of new technology related to smart buildings and advanced building controls and manage the entire R&D project, from scope definition to budget and risk management etc.
• As R&D project leader, provide design and commissioning consulting to customers for the application of newly developed HVAC systems to buildings.
• Conduct a survey and analyze the collected data along with BEM-based building controls to develop a new building environment focused on occupant comfort and behavior, guided by well-being research.

Job Requirements:

• Master’s degree or equivalent related to Architectural Engineering
• Advanced knowledge of building physics, indoor environmental quality, HVAC system, control theory, and human behavior
• Proficiency in building energy modeling (BEM) such as EnergyPlus and/or TRNSYS
• Proficiency in data science and machine learning with demonstrated skills in programming languages such as R and Python
• Experiences in implementing AI and BEM-based building controls considering individual occupants’ comfort and behavior
• Minimum 10 years experience as a Researcher
• Minimum 5 years experience as a Lead Researcher in research/building projects using BEM
• Good oral and written communication skills in both English and Japanese (native or N1 Japanese language level is required as the role required to collaborate with Japan HQ extensively.)

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

-Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.

-Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.

-Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.

-Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.

-Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

-B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

-Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.

-Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.

-3+ years of industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications:

-Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.

-Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.

Responsibilities

- Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.

- Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.

- Data mining and analysis to improve the quality of recommended contents.

- Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.

- Develop innovative and state-of-the-art e-commerce models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment

Preferred Qualifications

- Experience in personalized recommendation, online advertising, information retrieval or related fields.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences

- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions

- Developed widely-recognized machine learning project(s) on github or personal webpage

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.

Responsibilities

- Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.

- Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.

- Data mining and analysis to improve the quality of recommended contents.

- Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.

- Develop innovative and state-of-the-art e-commerce models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed

Qualifications

- At least 3 years of work experience in related field

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment

Preferred Qualifications

- Experience in personalized recommendation, online advertising, information retrieval or related fields.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences

- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions

- Developed widely-recognized machine learning project(s) on github or personal webpage

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- Working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Details:

• Salary: FIXED $3,000 per month
• Office Location: Clarke Quay area (Mostly Islandwide due to field visit)
• Working Period: Immediate till December 2025 (renew or extend depending on project requirements)
• Working Days: 5 days work per week Monday – Sunday (Based on duty roster). Up to 44 hours per week

Responsibilities:

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:

• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Willing and able to persuade respondents to participate in surveys
• Able to work in high pressure, stressful situations
• Selected candidates are required to complete the training course and passed the tests based on the given criteria

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

Should you be interested in this position, please contact, Xiang Yin - 96168397 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1439784 (Phua Xiang Yin)

Admin (Education Centre)

Working days: 5 days (Tuesday to Saturday)
Working hours: (will very according to job requirements)
Tuesday 8.30am to 6.30pm
Wednesday to Friday 12 noon to 9.30pm
Saturday 8.30am to 6.30pm
Salary: $2200 - $2800
Location: Chun Tin Road (Beauty World MRT)

Job Description :

• Will carry out co-ordination of classrooms, worksheets organisation and arrange replacement classes.
• Communication with parent/guardians of students with regards to school admin matters
• Manage and design video, social media posting

Requirements:

• Possess 1 -2 years of experience as Admin in education/ tuition center is preferred
• Familiar with Adobe Photoshop / Illustrator

Lee Wan Ling | Reg No: R23116154

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

Our client is a provider of high-quality art education and creative programs for children, including engaging holiday art camps.

• Oversee front office operations, manage staff schedules, productivity, and training, and ensure smooth class delivery and event execution.
• Act as the face of the institution, manage client relationships, and provide detailed program information to prospective students.
• Drive sales of art programs, events, and services while managing the studio’s marketing efforts and coordinating collaborations.
• Handle administrative tasks, including staff onboarding, event planning, and ensuring team alignment for efficient daily operations.

Requirements:

• Degree in Business Management/Arts Management or equivalent.
• At least 2 years of Sales/Customer Relationship Management/Operations experience in Education sector.
• Strong ability to manage client relationships and provide excellent customer service.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

The Training Officer will be responsible for the daily training provided to Bizlink Centre clients attending the sheltered workshop programme in the logistic and fulfilment division.

Responsibilities

· To train persons with disabilities in pre-vocational, vocational and community living skills

· Assist with activities to develop social skills and physical maintenance.

· To supervise and provide quality check of clients’ packing work.

• Work with a multi-disciplinary team to develop, implement and monitor client’s individual training plan.

· To be responsible for the safety and wellbeing of the clients

• To be responsible for clients’ case management

· To provide periodic updates to caregiver on client progress

· To work with Department Head in co-ordinating events that client attends on a periodic basis.

Requirements

• Diploma holder, Community Services and Disability Studies
• Applicant with NITEC Certificate in Community Care & Social Services and Certificate of Special Needs Education with experience can apply
• Possesses strong communication and interpersonal skills.
• Possesses good organizational and time management skills
• Be able to work independently and with a multi-disciplinary team.
• Experience in training and working with people with special needs will be an advantage.
• Have great passion in wanting to make a difference with people with special needs and train them to acquire vocational skills.

Salary Range

· $2,610 - $3,000

· Working Location: Chai Chee Lane

Job Summary

The individual must possess a passion to champion service excellence. He/ she is supporting the hotel’s learning and development function and will be committed to cultivating a strong service culture with the hotel division.

Primary Responsibilities

• Involve in learning design, conduct research and generate insights for the development of learning materials for learning programs (e.g. case studies, guests’ feedback)
• Conduct stand-up training and webinars (e.g. New employee orientation, Product knowledge training)
• Conduct and facilitate learning tours
• Manage day-to-day Learning & Development administration and operations
• Support the end-to-end coordination of Learning & Development programs, including general training execution (from pre-training, during training and post training)
• Co-owns/develop customized learning roadmaps and content with Corporate L&D team
• Assist to prepare learning materials such as presentations and guidelines
• Staying updated on the latest product knowledge in Resort World Sentosa and Sentosa Island to create relevant quizzes for team members.
• Create, maintain, and monitor the progress of learning and coaching plans
• Other ad-hoc duties as assigned

Requirements

• Effective communication and interpersonal skills
• Fast learner with strong time management skills to meet deadlines
• Detail-oriented and well-organized in a dynamic work environment
• Possess a can-do attitude
• Comfortable working independently and in a team
• Comfortable in public speaking
• Proficient in Google and Microsoft Office products such as Excel and PowerPoint

Flexi Work Arrangements, Essential Financial Knowledge, Attractive Remuneration

We believe in providing a holistic approach in service to our clients, ensuring their needs are met and satisfied in our care. And we believe that it starts with us!

Join our team as a Financial Advisor and enjoy a flexible work setting, comprehensive training, support structure, together with market leading remuneration. This role is ideal for both fresh graduates and those seeking a mid-career switch. Connect with us and embark on a rewarding career in financial advisory

A Day in The Life of a Financial Advisor:

• Client Networking: Establish and grow a robust client base through effective networking and prospecting strategies.
• Financial Strategy Development: Analyze clients' financial situations and goals to create tailored financial strategies.
• Insurance and Financial Advisory: Provide comprehensive advisory on insurance and financial planning, covering areas such as retirement, education, and investments, supported by our extensive product suite.
• Financial Analysis: Presenting detailed financial summaries, investment reports, and income projections for clients.
• Client Relationship Management: Maintain and strengthen client relationships through regular reviews and adjustments to financial plans based on life changes.

Benefits & Rewards:

• 24-months Trainee Program: Provides monthly allowance + commission, supporting you in the first 24 months of your career.
• Extensive Training and Support Structure: Regular workshops, training & sharing sessions within the agency and individual mentorship ensuring support along the way.
• Flexi-Hybrid Work Setting: Enjoy a hybrid work setting with flexible work arrangements.
• Attractive Rewards: We believe in 'work hard, play hard', with incentives for top performers & fun team-bonding events.
• Market-leading Remuneration Structure: Market-leading remuneration package along with an attractive incentive system, including commissions, performance incentives, and up to 3 incentive trips a year.

Qualifications:

• Singaporean / Singapore PR preferred
• Minimum 21 years old with Polytechnic Diploma, GCE 'A' level Certification or Bachelor Degree in any field, as per MAS requirements.
• Highly motivated with strong interpersonal skills

Apply now to find out more!

Postion: Childcare / Infantcare Educator

• Islandwide location (Work nearby home)
• L1/ L2 / EY1 / EY2
• DECCE / ACEY / HCIC

Requirements:

• Diploma in Early Childhood Care & Eductaion
• DPT L1 / L2
• Infant Care - HCIC / CIT / ACEY

Responsibilities:

• Follow health, safety, nutritional and hygiene standards and rules.
• Guide the social and emotional growth along with confidence in children.
• Impart the core values of early childhood education with events.
• Reach out to and foster trust and respect in relationships with children.
• Review teaching and learning approaches that follow Curriculum Frameworks.
• Set up quality learning environments.
• Understand the learning and developmental needs of young children (birth to age 8).
• Use classroom management and document children’s learning.

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

Position title : Service Engineer / Technical Specialist

• Location: Loyang Industrial Estate
• Working Days: Mon - Fri (830 a.m. to 530p.m.)
• Salary : $2,500 - $3,000

Requirements

• Diploma in Electronics/Mechanical/Mechatronics Engineering
• Preferably with experience in Vacuum Technology and/or Wafer Testing.
• Training provided
• Travelling required
• Required standby OT when machine / equipment breakdown

Responsibilities

• To provide support and application for Wafer Sort & Testing Related Equipment.
• Service & Calibration of Hi Vacuum Pumps and related equipment for the semiconductor industry.

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

**For January 2025 intake**

Teachers needed:

• Primary Science / STEM

**Full Time: $2600-3200 per month (commensurate with experience)**

**Part Time: $25 to $35 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 3.30pm

Location: Northeast (Serangoon, Hougang)

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Primary Science/STEM Teacher (Full Time or Part Time, Northeast)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806

Learning Management Executive

Duration: 6 months

Location: Chinatown

Responsibilites

• Assist to review and update training records/documents
• Assist with programme logistics (recording of sessions, updating of attendance etc.)
• Other ad-hoc duties as assigned

Requirements

• A-levels / Diploma
• 1 - 2 years of relevant experience
• Good written and verbal communication skills

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Job Description:

To teach various modules for the above stated discipline at Diploma , Advanced Diploma and Bachelor's Degree levels. Full-Time position available.

Responsibilities:

● Take on the role(s) as the Lecturer and Module Leader as assigned.

● To conduct and participate in lecture induction, class observations, and conduct staff development seminars.

● Design and develop high quality curriculum and course materials within the existing academic framework.

● Prepare, deliver and conduct lessons according to the course syllabus and schemes of work.

● Review and ensure all coursework and exam assessments (e.g. final outcomes) align with the intended learning outcomes of each module according to the course and module specification.

● Administer the setting and marking of coursework and examinations (e.g. via setting assessment briefs), conduct internal moderation of all coursework with assessment criteria and marking guides etc in alignment with the course and module specification. Schedule and prepare examination papers and assignments. Mark and grade all course work, assignments and examination papers

● Facilitate the internal moderation of all coursework and examination results in alignment with the course and module specification, before presentation to the end of term/course for review with the Academic and Examinations Board and university partner / external examiners board (if applicable)

● Facilitate university site visits, the university audits and program reviews.

● Conduct objective assessments on coursework and examination appeal cases.

● Facilitate the classes/workshops/lab sessions/studio sessions as assigned

● Prepare and conduct lectures and tutorials/workshops/lab sessions/studio sessions as assigned (including overseas if required).

● Lead and inspire students of the different disciplines.

● Review the student module evaluation and conduct the student focus groups or Student-Staff Liaison meetings. Provide feedback to Management about the continual improvement of the class performance and course proceedings at the end of semester/course/modules. Participate in programme review meetings.

● Engage in student development by providing strong learning support and monitoring of students’ academic performances. Provide necessary supervision to the students, manage and report students’ discipline issues to the academic staff in charge.

● Advise and counsel students with respect to academic performance, behavioural and disciplinary issues, career opportunities, and pursuit of advanced studies. Monitor the performance and progress of each student, including academic counselling.

● Develop online learning strategies with a duality of pedagogical functions (online learning, blended learning).

● Lead and support projects e.g. in developing courses with new or existing partner university or industry partner and prepare the documentation needed for the approval process.

Miscellaneous duties:

Other administrative duties/projects as assigned by Reporting Officer.

Participate in the school’s events, marketing campaigns and projects as required.

Requirements:

Preferably a Master Degree in related fields or an equivalent Degree in related fields with 5 years of relevant teaching experience and professional work experience.

A post-graduate qualification in Education is an added advantage.

Proficiency in Microsoft Office suite of software; Final Cut Pro and DaVinci Resolve (other Blackmagic Design-related software).

Remuneration will be commensurate with relevant experience.

Purpose of the role

The internal application of generative AI (Gen AI) within our core Research and Consulting operations will be pivotal to our ability to optimise and interpret sources, accelerate the production of deliverables and augment our collective human intelligence.

Gen AI clearly has a huge potential for our industry and our business, but the successful implementation required to deliver on that potential requires focus, partnership, planning and communication.

Across the business, we have a wealth of research knowledge, technical skills, and interest in AI that we need to harness in a thoughtful and coordinated way. To that end, the Director of Gen AI will continue to lead the commercial application and integration of generative AI into Passport and our other client-facing platforms. Our Enterprise Technology function will focus on driving broader AI adoption across business-wide applications such as Microsoft Copilot. This structure allows for a clear focus on Research and Consulting-specific AI objectives—those that drive innovation and efficiency from within—under the leadership of a newly appointed 'Head of Research AI'.

The Head of Research AI will report to the Director of Gen AI and work closely with Enterprise Technology, Data Science, and other departments to ensure maximum impact and minimum duplication of efforts. This collaborative approach will enable us to leverage our collective expertise while maintaining alignment with our overall AI strategy.

Description

We are looking for a results focused leader to convert the potential we know Gen AI has into new processes and innovative tools that make a measurable difference to how our Research and Consulting teams work. In this pivotal role, you will drive the development and implementation of novel Gen AI applications through a group of dedicated Project Managers and work with Data Science and Technology stakeholders to ensure optimal delivery.

Our Research and Consulting teams are your customers and your ability to marry successful technical implementation with proactive communication and stakeholder management is arguably as important as the Gen AI application itself.

Gen AI is an area that is quickly evolving and so keeping abreast of developments from the external environment, as well as where else within the business it is being implemented will be required.

Key Responsibilities:

Strategic Leadership:

• Collaborate closely with the Director of Gen AI to define and lead the organisation's research strategy for Gen AI, ensuring alignment with the overall business goals and market intelligence needs.
• Build and maintain a network to identify ideas, emerging trends and potential disruptions within the Gen AI landscape, both internally and externally.
• Develop a framework for evaluating ideas and initiatives, determining resource allocation based on value and scalability, and applying this framework across all or part of the research team’s activities.
• Utilise this framework to assess the value of building in-house solutions versus buying external ones.
• Secure executive buy-in and allocate resources effectively to ensure successful execution of the Research and Consulting agendas.

Team Management:

• Inspire a high-performing team of Gen AI Project Managers, fostering a culture of collaboration, innovation, and continuous learning.
• Empower and mentor your team, providing clear direction, setting ambitious goals, and fostering a supportive environment for growth.
• Implement effective performance management practices to ensure individual and team accountability for achieving research objectives.
• Define the optimal balance of full-time team members, while also mentoring and developing individuals, ideas, and initiatives.

Gen AI Expertise:

• Collaborate with internal engineering teams to ensure seamless integration of Gen AI solutions into existing workflows and infrastructure.
• Stay abreast of the latest advancements in Gen AI research and identify opportunities for application within the market intelligence domain.
• Contribute to the development of internal best practices and guidelines for responsible AI development and deployment.

Project Oversight & Guidance:

• Offer strategic guidance and oversight to Gen AI Project Managers, ensuring that projects are delivered on time, within budget, and meet established quality standards and required ROI levels.
• Develop a comprehensive research roadmap, prioritising projects with the highest potential impact on market intelligence capabilities.
• Proactively identify and address potential roadblocks, ensuring efficient project execution and timely delivery of high-impact results.

Communication & Change Management:

• Champion change management initiatives to ensure successful adoption of Gen AI solutions within the organisation, addressing potential concerns and fostering a culture of innovation.
• Communicate and advocate for the potential of AI, while also providing clear guidance on its limitations and most effective applications.
• Foster strong relationships with internal teams across the organisation, including Research, Consulting, Data Science, Technology and Enterprise Systems.
• Develop compelling presentations and reports to showcase the value proposition of Gen AI research and secure ongoing support from leadership.

Skills & Experience

• Proven track record of leading and managing research or project management teams, demonstrably delivering successful outcomes.
• In-depth knowledge and understanding of market intelligence principles and practices, with a passion for leveraging AI to enhance insights generation.
• A strong passion for innovation and a demonstrably positive impact through the application of Gen AI.
• Excellent communication, collaboration, and presentation skills, with the ability to tailor messages to diverse audiences.
• Excellent problem-solving and analytical skills
• Experience in successfully managing and driving change initiatives within a complex organisation (highly desirable).
• A true Euromonitor player. Displaying all our core values of curiosity, integrity, empowerment, diversity and collaboration.
• Minimum 8+ years of experience in research and/or consulting, preferably a combination of both.