Total 5 job vacancies by Dsbj Pte. Ltd.

We are seeking a professional, reliable, and highly discreet Executive Driver to provide transportation services for the designated Company Executive and authorized family members where applicable, and approved business guests as assigned. The successful candidate will be responsible for ensuring safe, punctual, and comfortable transportation, maintaining assigned vehicles in excellent condition, and supporting various personal, household, and business-related errands as required.

The role requires flexibility in working hours and the ability to remain available based on the designed Company Executive's schedule.

Key Responsibilities:

Transportation Duties

• Provide safe, efficient, and professional transportation for the designated Company Executive and authorised family members, to and from business meetings, appointments, school runs, social engagements, airport transfers, and other destinations.
• Ensure punctual pick-up and drop-off according to the designated Company Executive's daily schedule and requirements.
• Plan and optimize travel routes while taking into account traffic conditions, road closures, and travel schedules.
• Provide transportation support for company VIP guests, overseas visitors, senior executives, and business associates when required.
• Assist passengers with luggage, parcels, groceries, shopping items, documents, and other items as needed.

Vehicle Management

• Maintain assigned vehicles in a clean, safe, roadworthy, and presentable condition at all times.
• Conduct regular inspections of vehicle condition, fuel levels, tyres, batteries, and other essential components.
• Coordinate and arrange vehicle servicing, maintenance, repairs, inspections, insurance renewals, road tax renewals, and other vehicle-related requirements.
• Monitor and manage vehicle-related expenses such as fuel, parking charges, ERP charges, and maintenance records.
• Promptly report any accidents, traffic offences, vehicle damage, breakdowns, maintenance issues, or incidents involving the assigned vehicle.

Administrative and Ad-Hoc Support

• Assist with personal errands, document collection, deliveries, banking matters, household-related tasks, and other assignments as requested by the designated Company Executive or family members.
• Carry out ad-hoc duties and special assignments as instructed by the designated Company Executive.
• Remain contactable and responsive to schedule changes and transportation requests during working and standby hours.

Confidentiality and Professional Conduct

• Maintain the highest level of confidentiality and discretion at all times.
• Safeguard all information relating to the designated Company Executive, family members, guests, and business associates, including but not limited to travel schedules, residential addresses, personal activities, family matters, photographs, conversations, business affairs, and confidential company information.
• Refrain from disclosing, discussing, recording, or sharing any confidential information obtained during the course of employment.
• Conduct oneself professionally, courteously, and respectfully at all times.

Requirements:

• Possess a valid Singapore Class 3 driving license with a clean driving record. Proven safe driving record with no history of at-fault traffic accidents.
• Minimum 3 years of relevant experience as a Personal Driver, Executive Driver, Chauffeur, or similar role, preferably supporting senior executives or business owners.
• Proficiency in both English and Chinese to effectively communicate with the designated Company Executive, family members, and Mandarin-speaking associates.
• Familiar with Singapore roads, traffic conditions, airport routes, navigation systems, and basic vehicle maintenance.
• Able to work flexible hours, including early mornings, evenings, weekends, and public holidays, with standby availability based on the designated Company Executive's schedule.
• Must remain contactable via mobile phone, WhatsApp, and WeChat during working and standby hours.
• Physically fit and willing to assist with luggage, parcels, groceries, documents, and other items when required.
• Professional, trustworthy, service-oriented, and able to maintain strict confidentiality regarding personal, family, travel, and business-related matters.
• Well-groomed with high standards of personal hygiene and professional appearance; non-smokers are preferred.
• Singapore Citizens and Permanent Residents are preferred as there is no work pass quota apply on this position.

Working Hours

• Working hours will be based on the designated Company Executive's schedule and business requirements.
• Flexibility is required, including availability outside normal office hours, weekends, and public holidays when necessary.
• Overtime and standby arrangements will be in accordance with company policy and employment terms.

Benefits

• Group Insurance and Dental Insurance coverage under AIA.
• Overtime compensation (where applicable).
• Annual leave and medical benefits in accordance with company policy.
• Additional benefits subject to company policies and employment terms.

DSBJ is a leading worldwide technology partner providing critical components for IoT intelligence, with a special focus on Telecommunication Equipment and Metal Precision, LED technologies and Interconnect solutions. Technological innovation is in the DNA of entire organization and is also the cornerstone of DSBJ’s success. With cutting-edge production facilities and advanced technology, we constantly deliver state-of-the-art products and quality services. Towards this, DSBJ has established the AI COE team to fully incorporate Big data and Artificial Intelligence into strategic roadmap and enable digital transformation and smart manufacturing/engineering initiatives.

As the Senior / Principal Data Scientist specializing in Smart Engineering, she/he will apply advanced analytics—including machine learning, generative AI, and optimization—within engineering and design domains to convert complex engineering data into actionable insights that drive faster, higher-quality decisions. This role will design, build, validate, and deploy analytical prototypes, taking solutions from concept through production. Working closely with experts in big data, software engineering, and advanced analytics, she/he will also contribute to the development of scalable, cutting-edge analytics capabilities that support evolving business requirements and product innovation.

Main Responsibilities:

• Design and develop algorithms to parse, interpret, and analyse engineering data, inclusive of structured data, technical PDF, 2D drawing, 3D CAD models
• Apply machine learning, deep learning, and geometric modelling algorithms to engineering problems, including drawing understanding (symbol, dimension, feature recognition), CAD feature classification and semantic labelling, part similarity, clustering, and reuse detection
• Collaborate with software and data engineers to productionize models and deploy them as services or internal platforms
• Work closely with mechanical engineers, manufacturing engineers, and process design engineers to translate domain knowledge into AI features
• Communicate advanced analytics solutions to non-technical stakeholders, translating technical insights into clear business value to drive understanding and adoption
• Advise management and stakeholders on best practices for applying advanced analytics to engineering problems through exploration, benchmarking, and evidence-based evaluation
• Work with project manager to break down overall work into manageable and tractable tasks while satisfying time, cost and resource constraints.
• Perform progress check, solution review and documentation on regular basis.

Job Requirements:

• At least Bachelor degree in Mechanical Engineering, Data Science, Applied Mathematics, Statistics, Computing Science. A post-graduate degree is an advantage
• Minimum of 5 years of work experience in academic or business context to apply Data Science, Machine learning, Deep Learning, Optimization to engineering problem
• Profound knowledge (e.g. application, limitation, challenges) of advanced analytics (e.g. rule-based, deep learning, LLM) in analysing the engineering data (e.g. PDF, DXF, STEP, ODB++)
• Hands-on modelling/coding experience using various tools/libraries (e.g. AutoGluon, Ultralytics, Gurobi, TensorFlow, PyTorch, SciKit-Learn, Open CASCADE)
• Proficiency in programming language (e.g. Python, Java) and database querying (e.g. SQL)
• Self-motivated, proactive, independent learner who is willing to learn, experiment, and share knowledge with broader AI COE team to build innovative culture.
• Proficiency in both English and Chinese, to liaise with the Chinese-speaking associates in China Headquarter office.
• Domain knowledge in engineering design, industrial automation and engineering software is highly valued
• Experience in feature recognition, design intent extraction, or DFM/DFA automation is highly valued

The Executive Support Manager provides high‑level executive support to senior management, ensuring the efficient coordination of executive schedules, communications, travel, and confidential matters. The role requires strong organisational skills, discretion, and the ability to work closely with internal and external stakeholders to support business operations and leadership effectiveness.

Key Responsibilities

• Manage complex executive calendars, appointments, and schedules, ensuring alignment with business priorities
• Coordinate meetings, prepare agendas, briefing materials, and follow‑up action items
• Handle confidential and sensitive information with the highest level of professionalism and discretion
• Act as a key point of coordination between senior management and internal departments, partners, and external stakeholders
• Support communication flow and follow‑ups on executive decisions and instructions
• Assist with coordination across regional offices or group entities when required
• Oversee executive travel planning, including itineraries, accommodation, and logistical arrangements
• Support executive travel risk arrangements by coordinating with relevant internal teams or external service providers
• Ensure all travel arrangements comply with company policies and local regulations
• Undertake special projects and ad‑hoc assignments as delegated by senior management
• Provide flexible support in response to evolving business and leadership needs

Requirements

• Minimum 5–8 years of experience in executive support, or management support roles
• Prior experience supporting C‑suite or senior leadership is strongly preferred
• Strong organisational, communication, and stakeholder management skills
• High level of discretion, integrity, and professionalism
• Ability to work independently in a fast‑paced,confidential environment
• Proficient in Microsoft Office and common business productivity tools

The Investment Manager is responsible for identifying, evaluating, and managing investment opportunities in line with the company’s strategic objectives. The role involves financial analysis, due diligence, execution support, and ongoing portfolio management.

Key Responsibilities

• Source, evaluate, and execute investment opportunities
• Conduct financial modelling, valuation, and investment analysis
• Perform due diligence, including commercial, financial, and risk assessments
• Prepare investment papers, presentations, and recommendations for senior management
• Monitor portfolio performance and support post-investment management
• Engage with external stakeholders such as advisors, partners, and co-investors
• Track market trends and provide strategic insights to support investment decisions

Requirements

• Bachelor’s degree in Finance, Economics, Business, or a related field
• Relevant experience in investment management, private equity, venture capital, corporate finance, or related areas
• Strong financial modelling and analytical skills
• Good understanding of capital markets and investment principles
• Excellent communication and stakeholder management skills

DSBJ is a leading worldwide technology partner providing critical components for IoT intelligence, with a special focus on Telecommunication Equipment and Metal Precision, LED technologies and Interconnect solutions. Technological innovation is in the DNA of entire organization and is also the cornerstone of DSBJ’s success. With cutting-edge production facilities and advanced technology, we constantly deliver state-of-the-art products and quality services. Towards this, DSBJ has established the data analytics COE to fully incorporate Big data and Artificial Intelligence into strategic roadmap and enable digital transformation and smart manufacturing initiatives.

As the Data Scientist, she/he will apply advanced analytics techniques (e.g. machine learning and computer vision) into business context to transform data into meaningful and actionable insights that subsequently drive better and faster decision making. This role will build, validate and test prototype, get it to production ready phase and see through to the launch. This role will be working alongside bright minds across big data, software engineering and advanced analytics, and also be involved in research and development of cutting-edge data analytics techniques to support specific business requirements and products.

Main Responsibilities:

• Design and develop computer vision models for tasks such as detection, classification, segmentation, OCR, defect inspection, and visual tracking.
• Apply deep learning techniques (CNNs, Transformers, ViTs, multi-modal models) to real-world image and video data.
• Build end-to-end Vision AI pipelines from data collection, labeling, training, validation, to deployment.
• Work with project manager to translate requirements into Vision AI solutions.
• Optimize models for performance, accuracy, and inference speed in production environments (edge / cloud / hybrid).
• Integrate Vision AI with broader AI systems such as LLMs, RAG pipelines, or agentic workflows where relevant.
• Continuously evaluate and improve model robustness, bias, and generalization across scenarios.
• Document models, experiments, and best practices; contribute to internal AI standards and reuse libraries.

Job Requirements:

• At least Bachelor degree in Data Science, Applied Mathematics, Statistics, Computing Science, Electrical/Computer Engineering, Business Analytics.
• Minimum of 2 years of work experience in computer vision / Vision AI projects (industrial, medical, retail, manufacturing, etc.).
• Strong foundation in machine learning and deep learning, especially CV models (CNN, ResNet, YOLO, Faster R-CNN, UNet, ViT, etc.).
• Proficient in Python, PyTorch / TensorFlow, OpenCV.
• Experience with data annotation pipelines and tools (Label Studio, CVAT, etc.).
• Familiar with MLOps practices: experiment tracking, model versioning, CI/CD for ML.
• Experience deploying models with APIs, Docker, and cloud platforms (AWS / Azure / Alibaba Cloud).
• Strong problem-solving ability and ownership mindset.
• Ability to communicate clearly and effectively in both English and Mandarin.
• Willingness to travel up to 50%, depending on project needs, including site visits, customer workshops, and deployment support