What Jobs are available for AI Strategy in Hong Kong?

Job ID: 41756

Location: Central, HK

Area of interest: Technology

Job type: Regular Employee

Work style: Office Working

Opening date: 10 Oct 2025

RESPONSIBILITIES

Ideating, defining and driving the adoption of Gen AI capability to organisational priorities. Identifying use case to use compatibility and H/M/L complexity.

• Provide guidance to business leaders as to how to use Gen AI to address identified process frictions or improve key worker productivity to tangible and measurable value.
• Work with key users to assess solution fit to stated need and define improvement priorities to increase utility, relevance and value.
• Maintain a solutioning mindset to identify technical capability crossover to other use cases and use domain and market expertise to advise on buy versus build approaches so we determine what is best for the business.
• Continually look at the environment to challenge our assumptions around new sources of data, potential AI partners, tools, talent and infrastructure.
• Engage with internal clients to improve delivery of projects.

• Develop effective and trusted relationships with the business.

• Be clear on the CDO-AI enablement team processes, checklists and approach to delivery

• Accuracy in reporting and tracking of business case value
• Accuracy in adoption uptake, user feedback collection and report back to AI product and tech team

Qualifications

• 8+ years of business engagement and solutioning discovery experience
• Track record in business solutioning, problem solving and multi-level stakeholder management.
• Familiarity with the ai landscape: external vendors, model types and use cases
• Work with senior business stakeholders and technology leads to map the transformative vision and signpost this to existing and near term in-house capabilities.
• Partner with business on build versus buy versus blend delivery approaches
• Work to drive ai literacy and develop a solutioning mindset with senior business leads to change how we think about solving business challenges with technology
• Internally consult, problem solve and steer a value based outcomes
• Must be an adept relationship builder and develop trusted and effective relationships with key internal stakeholders
• Experience in driving adoption and take up of new technology through working with users to collect and prioritise feedback for improvement and ensure good fit to function
• Education University Bachelor Degree
• Languages English

Role Specific Technical Competencies

• Business engagement experience
• Stakeholder management and relationship management
• AI and ML solutioning experience
• Client workshop and requirements gathering and feedback loop experience
• Entrepreneurial experience
• Knowledge of AI landscape

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

This role is to define and drive the 3 to 5 years of technology, integration and data strategy that aligns SAP S/4HANA, iMRO and shop-floor systems to business KPIs (TAT, First Pass Yield, Planning response); lead cross-organizational strategic partnerships and an innovation pipeline while enabling delivery through Head of IT and Head of Digital.

Key job responsibilities:

• Develop and drive HAESL enterprise technology strategy, target architecture, integration and canonical data models.
• Define 3 to 5 years of strategic technology & integration roadmap aligned to business KPIs l.
• Define technology target, investment prioritization and vendor/partner strategy
• Lead cross-organizational strategic partnerships (Rolls-Royce, HAECO and HAESEL) and an innovation pipeline
• Design the target operating model for technology (platform & integration CoE, data office) and capability uplift.
• Enable strategic OEM partnerships (Rolls‑Royce, HAECO)
• Define and drive the strategic alignment to ERP goals as well as the data and analytics strategy to HAESL goals
• Define and drive the strategic alignment of HAESL goals for the innovation pipeline
• Work closely with Head of IT and Head of Digital Transformation and enable delivery of the strategic initiatives via their departments.

Requirements:

• Holder of a bachelor's degree in information technology, computer engineering or above
• Over 15 years of work experience in a diverse work environment, preferably in aviation industry
• Proven track record of identifying and driving scalable innovation and technology initiatives
• Excellent strategic planning, project management and business transformation
• Strong stakeholder management skills at all organizational levels
• Strong strategic partnership with internal customers and business vendors

Company Description
Hong Kong - Shenzhen - Guangzhou - Shanghai - Beijing

JPC Texson Ltd, established since 1990, is a Hong Kong and China licensed Employment Consulting firm, specializes in Headhunting and Recruiting Services for companies in Hong Kong and China. We have offices in Hong Kong, Shenzhen, Guangzhou, Shanghai and Beijing.

Job Description
Position Title: Assistant Project Manager - Technology Strategy & Engineering Analysis

• Location : Hong Kong, with frequent international travel
• Industry: Precision equipment manufacturing for semiconductors, energy, automotive, and medical diagnostics

About Us

• We are a rapidly expanding international manufacturer of precision equipment, serving high-performance industries including semiconductors, energy, automotive, electronics, optics, scientific testing, and medical diagnostics.
• As part of our long-term innovation strategy, we pursue vertical integration through targeted mergers, acquisitions, and strategic joint ventures. These initiatives are designed to strengthen our engineering capabilities, accelerate product development, and deepen our technological leadership across the value chain.
• Our parent company is a global minor metals manufacturer with over 10,000 employees and production facilities across multiple international markets.

Role Overview

• We are seeking a technically proficient and analytically driven Assistant Manager - Technology Strategy & Engineering Analysis to support our strategic investment activities. While the role contributes to M&A and JV deal execution, its primary focus is on providing deep technical insights to guide investment decisions and ensure alignment with our engineering and innovation roadmap.
• This position is ideal for candidates with a strong academic foundation in engineering or applied sciences who are passionate about emerging technologies, advanced manufacturing, and the strategic evaluation of high-tech businesses.

Key Responsibilities

• Conduct in-depth technical and strategic research on emerging technologies, engineering platforms, and innovation trends across high-tech equipment sectors
• Evaluate potential acquisition or JV targets from a technology and product standpoint, focusing on differentiation, synergy, and strategic fit
• Lead technical due diligence efforts, including assessment of proprietary technologies, R&D capabilities, and integration feasibility
• Collaborate with internal engineering, R&D, operations, and finance teams to develop holistic views of target companies
• Support investment analysis with technical inputs, including product bench marking, IP evaluation, and innovation potential
• Contribute to investment memos, executive briefings, and strategic recommendations with a focus on engineering impact
• Participate in site visits, industry conferences, and meetings with technology partners across global locations
• Provide ongoing technical support to the M&A Director throughout the deal lifecycle

Ideal Candidate

• Bachelor's or Master's degree in Electrical, Electronic, Mechanical, Chemical Engineering, Materials Science, or related disciplines
• Experience working with high-tech equipment or precision systems (e.g., semiconductor tools, diagnostics, energy systems, advanced instruments)
• Exposure to technology scouting, product development, or strategic partnerships in engineering-led industries
• Strong analytical and problem-solving skills with the ability to assess complex technologies and translate insights into strategic recommendations
• Excellent communication skills with the ability to engage cross-functional teams and external partners
• Fluent in English; additional language skills are a plus

Terms And Benefits

• Five-day work week
• 13-month salary plus performance bonus
• 15 days of annual leave
• Comprehensive medical insurance
• Frequent international travel
• Career development in global technology strategy and engineering innovation

Join Us
Be part of a forward-thinking team shaping the future of high-tech manufacturing through engineering excellence and strategic collaboration. Your technical insights will help us identify the next wave of innovation and build partnerships that matter.

In Strategy & Consulting we
work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization's total enterprise reinvention.

You Will Be Responsible For:

Our End-to-End Capabilities
Transform Every Fact of Business

Strategy
We identify and execute on actionable insights through a data-driven approach combining data discovery with visualization

Automation, Advanced, Analytics and AI
We apply intelligent technology and human ingenuity at the core of business across every function and process to address our clients' most complex challenges

Data
We transform organizations at every level using innovative data-driven solution.

Platforms
The flexible. Scalable Applied Intelligence Platform helps our clients become insight-powered enterprises, delivering value at speed using market-leading tools.

Responsible AI
Our responsible AI methodology puts people at its center. Focusing on enhancing their capabilities and elevating their roles.

The key responsibilities may include:

• Client-facing interaction including providing data-driven analyses, recommendations, presentations, advice, to clients.
• Leads proposal preparation, client presentation and project delivery.
• Evaluate the current state of the client's databases and data systems to identify database structural necessities
• Identify new solutions to increase efficiency and performance
• Delivers analytics projects including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Big Data Analytics, Pricing and Promotion, Trade Promotion Analytics, Customer Segmentation analytics, Markdown Optimization, machine learning operations, optimization, statistical analysis, quantitative modelling.
  Job Qualifications- Minimum of bachelor's degree required in a related field; strong preference for fields of study in data science, AI, statistics, economics or quantitative background
• Minimum of 3 years of relevant experience in management consulting OR minimum of 3 years of data science, advanced modelling, and predictive modelling with best use of commercial data science or machine learning platforms
• Very strong expertise in Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
• At least 3 years' experience with predictive analytics tools which may include R / Revo R, SAS, Python, Spark

My client is a multi-strategy hedge fund with growing presences in APAC.

They are hiring an AI System Engineer to drive the firm's AI initiatives - from rapid prototyping to production integration at scale. This is a hybrid role that blends applied
AI engineering
(developing practical tools that directly impact trading, risk, and operations) with
data engineering excellence
(ensuring models and workflows run reliably in production). You'll experiment with new AI techniques, build scalable data pipelines, and integrate AI-driven insights into their platform, which powers the firm's core investment and risk workflows.

A key part of this role will also involve engaging with cutting-edge AI startups and

technology providers to ensure that the firm's adoption of AI is both forward-looking and pragmatic. You will collaborate closely with their Product Manager, engineers, and investment teams to prioritize initiatives, shape roadmaps, and deliver high-impact solutions aligned with the firm's strategic goals.

What You Will Do

Backend Services & Pipelines:

• Develop and operate Python-based backend services and data processing pipelines.
• Maintain and improve data ingestion, transformation, and delivery systems for both AI and non-AI workflows.

AI Integration

• Build and enhance RAG pipelines (chunking, embedding, vector search) for financial and unstructured data.
• Integrate AI/LLM systems into trading, risk, and operations workflows with a focus on production reliability.
• Evaluate and integrate vendor-provided AI tools/startup solutions, ensuring alignment with the firm's needs.

Data Quality & Governance

• Develop quality management systems for structured (market, reference) and unstructured data (research, news, social, transcripts).
• Safeguard against poor data quality or hallucinations in AI-driven workflows.
• Ensure compliance, auditability, and observability are built into every integration.

Collaboration & Planning

• Work closely with the Product Manager to prioritize AI/data initiatives and align with the broader platform roadmap.
• Partner with portfolio managers, risk teams, and operations to understand real world challenges and design scalable solutions.
• Support non-AI engineering projects when required, contributing as a full Core Tech team member.

Infrastructure & Operations

• Operate and monitor Kubernetes-based cloud infrastructure.
• Support continuous performance optimization, monitoring, and stable deployments.
• Design and optimize scalable SaaS-like architectures within the hedge fund environment.

What They Are Looking For

• Strong backend engineering experience in Python.
• Proven track record building and maintaining data pipelines (structured + unstructured).
• Familiarity with relational databases (RDBs) and distributed data systems.
• Understanding of RAG workflows (chunking, embedding, vector search, retrieval orchestration).
• Experience deploying and operating services on cloud platforms (AWS preferred: EC2, RDS, OpenSearch, S3).
• Comfortable owning end-to-end workflows (experiment → deploy → monitor).
• Ability to design for stability, reliability, and compliance rather than chasing experimental architectures.
• Familiarity with security frameworks (NIST AI RMF, ISO/IEC 27001, SOC2) and their application to AI.
• Knowledge of data protection regulations (GDPR, HIPAA, CCPA) and privacy preserving ML techniques.
• Strong problem-solving skills with attention to detail.
• Prior exposure to finance-targeted AI systems (e.g., Claude for Financial Services, BloombergGPT, or equivalents).
• Excellent communication skills to work across engineers, product managers, and investment teams.

Nice to Have

• Experience with Kubernetes (EKS/AKS) and cloud-native infrastructure.
• Experience developing or operating search systems (keyword search, vector search, hybrid).
• Prior experience working with financial datasets or financial services workflows.
• Experience with data QA, labeling, or annotation automation.
• Experience designing or operating SaaS architectures and deployment pipelines.
• Contributions or strong interest in LLM, NLP, RAG, or Information Retrieval.
• Proactive communicator with curiosity and persistence in problem solving.

Transform Language Models into Real-World Applications
We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world.

This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.

Why This Role Matters
You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You'll Do

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

What Is It Like

• Likes ownership and independence
• Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.
• Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you.
• Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later.
• See feedback and failure as part of growth - you're here to level up.
• Possess humility, hunger, and hustle, and lift others up as you go.

Requirements

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
• Proficiency with PyTorch (preferred) or TensorFlow.
• Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
• Familiar with evaluation metrics: perplexity, toxicity, relevance.
• Strong software engineering foundations in algorithms, data structures, and clean code practices.

Nice to Have

• Prior work in text generation, moderation, or personalization.
• Experience with RLHF or reinforcement learning in LLMs.
• Contributions to open-source ML projects.

What You'll Get

• Flat structure & real ownership
• Full involvement in direction and consensus decision making
• Flexibility in work arrangement
• High-impact role with visibility across product, data, and engineering
• Top-of-market compensation and performance-based bonuses
• Global exposure to product development
• Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals
• Health, dental & vision insurance
• Global travel insurance (for you & your dependents)
• Unlimited, flexible time off

Our Team & Culture
We're a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, join us.

About Bjak
BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

Systematic Quant Researcher (Mid-Frequency, Equities, ML/NLP) – Hong Kong or Singapore

A leading global multi-strategy hedge fund ($12B AUM) is looking to add a talented Systematic Quant Researcher to its growing mid-frequency equities team in Hong Kong or Singapore.

This is an opportunity to join a world-class platform and work on cutting-edge ML, NLP, and LLM-driven research, collaborating with senior PMs and data scientists to design and deploy alpha-generating strategies.

Key Responsibilities:

• Research and develop systematic mid-frequency equity strategies using advanced ML techniques
• Apply
  Natural Language Processing (NLP)
  and
  Large Language Models (LLMs)
  for signal generation and feature extraction
• Build, test, and deploy predictive models and alpha signals across global markets
• Collaborate with engineers to bring research to production
• Analyze market microstructure and alternative data sources to identify new opportunities

Requirements:

• 5+ years' experience in
  systematic equities research
  (buy-side or sell-side)
• Proven background in
  machine learning, NLP, or LLM-based modeling
• Strong programming skills in
  Python (C++ a plus)
• Solid understanding of alpha research, portfolio construction, and backtesting
• Master's or PhD in a quantitative discipline (Computer Science, Applied Math, Statistics, or similar)
• Experience in
  mid-frequency
  or
  ML-driven systematic
  strategies

Locations:
Hong Kong or Singapore

Compensation:
Highly competitive, performance-based

If you're passionate about applying ML and NLP to real-world trading and want to join a high-impact global fund, we'd love to hear from you.

Job Title:
Machine Learning Scientist

Salary:
Negotiable (max USD 5,000 monthly)

Work Location:
Full-time Remote (GMT+7)

Open to Taiwan/Hong Kong/China-based candidates.

If you hold a PhD in Bioinformatics, Computational Biology, or Computer Science and want to apply your AI research to real-world medicine innovation, we welcome your application.

Job Overview

We are seeking a
Machine Learning Scientist
to join a global R&D team developing an
AI-driven platform for medicine research and healthcare manufacturing
—with a special focus on cancer therapeutics and production optimization. The role involves designing, training, and scaling state-of-the-art ML models that power next-generation healthcare innovation.

This is a
long-term product
, not a short-term project, to build a strong scientific AI team dedicated to advancing medicine discovery through cutting-edge research and production technologies.

Responsibilities

• Design and maintain end-to-end data pipelines to ingest, clean, augment, and version large-scale molecular and phenotypic datasets.
• Automate high-throughput molecular simulations and extract docking features for downstream modeling.
• Research, prototype, and productionize
  graph neural networks
  and
  transformer-based models
  for molecular property prediction, lead optimization, and virtual screening.
• Develop and integrate
  semi-supervised
  and
  active learning
  workflows to extract insights from limited experimental labels.
• Establish evaluation frameworks and analyze model performance using metrics such as ROC-AUC and enrichment factors.
• Collaborate with chemists, biologists, and engineers to integrate ML solutions into the discovery platform, ensuring scalability and maintainability.
• Communicate research progress, results, and methodologies across cross-functional teams and in external presentations.

Requirements

Must-Have:

• PhD (required) in
  Bioinformatics, Computational Biology, Computer Science, or related fields
  .
• Minimum
  5 years of AI/ML research or engineering experience
  .
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Hands-on experience with graph libraries (DGL, PyG) and transformer frameworks (HuggingFace).
• Familiarity with cheminformatics (RDKit) and molecular docking tools (AutoDock Vina, Glide).
• Experience in distributed training on multi-GPU or cloud platforms (AWS/GCP).
• Strong English reading comprehension for research papers; speaking level sufficient for team communication.
• Ability to travel to Singapore once per year for research collaboration.

Nice-to-Have:

• Research or work experience at
  BioTuring, Gene Solutions
  , or similar biotech/AI firms.
• PhD obtained abroad (US, Singapore, Australia, or Europe).
• Experience with omics data (RNA-seq, WGS, single-cell) and genomics libraries (Bioconductor, scikit-allel).
• Contributions to open-source ML tools or publications in relevant AI/biotech fields.
• Mentoring or leadership experience in research teams.

Company Overview

We are a biotechnology-focused technology organisation backed by global investors and partners from Singapore. The company applies
Artificial Intelligence to the development and production of new medicines
, particularly cancer-related therapeutics.

The mission is to build a new long-term, world-class
AI R&D team
to design intelligent systems that optimise pharmaceutical research and manufacturing. This is not a short-term project but a strategic product under continuous development, representing a major focus of the company's future roadmap.

Working Time

• Monday to Friday, 9:00 AM – 5:00 PM (lunch break: 12:00 – 1:00 PM).
• Full-time remote within the GMT+7 time zone.

Benefits

• Competitive and negotiable salary.
• Work fully remote with a flexible, research-oriented culture.
• Collaborate directly with scientists and AI experts across Singapore and Vietnam.
• Exposure to international pharmaceutical research and innovation.
• Opportunity to contribute to an AI product with long-term global healthcare impact.

Hiring Process

3 rounds: Initial Interview → Technical Interview → Final Interview.

Join us in building next-generation AI systems that will transform global healthcare.

Job Description:

As a Machine Learning Engineer at TeamNote, you will be instrumental in developing and optimizing a private GPT application designed for deployment within a corporate environment. You will work closely with a talented team to build and enhance the machine learning components of the application, ensuring high performance, accuracy, and scalability.

Responsibilities:

• Develop and train machine learning models, particularly focusing on natural language processing (NLP) for the private GPT application.
• Collaborate with software engineers to integrate machine learning models, Retrieval-Augmented Generation (RAG) pipelines and LLM agents into the application infrastructure.
• Optimize and fine-tune the GPT model and inferencing backend for specific corporate use cases and requirements.
• Conduct experiments, analyze data, and iterate on model performance to enhance overall application capabilities.
• Implement best practices for model deployment, monitoring, and maintenance within a corporate setting.
• Stay updated on the latest advancements in machine learning and Large Language Model (LLM) to drive innovation within the project.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree or PhD preferred).
• Proven experience in machine learning, deep learning, and NLP, with a strong portfolio of projects demonstrating expertise in these areas.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, MLX or similar tools.
• Solid programming skills in languages like Python, with experience in data manipulation, analysis, and visualization.
• Strong understanding of statistical modelling and algorithms used in machine learning.
• Familiarity with Retrieval-Augmented Generation (RAG) and LLM agent frameworks is considered a strong advantage.
• Experience in Large Language Model (LLM) inferencing backend such as vLLM, SGLang, or MLX is highly desirable.
• Excellent problem-solving abilities, analytical skills, and attention to detail.
• Effective communication skills and the ability to collaborate with cross-functional teams.

Additional Information:

• This is a full-time position based in Hong Kong.
• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI technologies and contribute to the development of innovative solutions within a corporate environment.

If you are passionate about machine learning, eager to work on AI-driven applications, and thrive in a collaborative team setting, we would love to hear from you.

工作類型: 全職

薪酬: $11,643.27至$33,764.89(每月)

福利:

• 在家工作
• 有薪病假
• 彈性上班時間
• 醫療保險

Work Location: 親身到場