What Jobs are available for AI Ml in Hong Kong?

• Define and manage project scope, timeline, milestones, and budgets for AI initiatives
• Coordinate cross-functional teams of data scientists, engineers, and subject matter experts
• Identify and mitigate risks, issues, and dependencies throughout the project lifecycle
• Communicate progress, challenges, and insights to key stakeholders
• Ensure projects adhere to NiceHire's quality, security, and governance standards
• Continuously improve project management processes and methodologies

• 7+ years of experience in technical project management, with a strong track record of delivering complex AI/ML projects
• Excellent understanding of AI/ML concepts, tools, and development lifecycles
• Demonstrated ability to lead cross-functional teams and collaborate with diverse stakeholders
• Strong communication and stakeholder management skills
• Proficient in project management methodologies such as Agile, Scrum, and Waterfall
• Degree in Computer Science, Engineering, or a related technical field

• Collaborative and innovative work environment
• Access to the latest technologies
• Opportunities for continuous learning and development
• Competitive salary and benefits package
• Flexible work arrangements for work-life balance

NiceHire is a leading provider of AI-powered talent matching solutions. Our mission is to empower businesses to thrive in the digital age by connecting them with top talent through intelligent technology.

Ready to take your technical project management skills to the next level? Apply now

We are seeking a Senior AI/ML Engineer to join our development team for the Master CRM system. This role focuses on enhancing our AI-powered customer relationship management platform with advanced machine learning capabilities, natural language processing, and intelligent automation features.

About the Project:

Our Master CRM is a comprehensive, unified platform that integrates:

AI-Powered Sourcing: Intelligent supplier discovery and matching using machine learning

Email System: Advanced email parsing and automation with NLP capabilities

Customer Management: Traditional CRM functionality with AI enhancements

WhatsApp Integration: Automated marketing and communication workflows

Business Analytics: Data-driven insights and predictive analytics

Key Responsibilities:

Machine Learning Model Development: Design and implement CNN models for image classification and feature extraction using PyTorch

Natural Language Processing: Develop and optimize NLP pipelines for email content parsing and supplier information extraction

Model Optimization: Improve model performance through hyperparameter tuning, data preprocessing, and advanced techniques like Batch Normalization

Database Design: Work with PostgreSQL and SQLite for data storage and retrieval

Data Mining & Analysis: Conduct exploratory data analysis and implement data mining algorithms

Financial Analytics: Develop fraud detection models and financial data analysis tools

Technical Requirements:

Core Skills:

Programming Languages: Expert proficiency in Python, C/C++, with experience in R and SQL

Machine Learning: Strong background in deep learning, CNN development, and model optimization

Data Processing: Proficiency in data mining, statistical analysis, and database management

Tools & Technologies:

Development Tools: Git, Docker, VS Code, PyCharm, RStudio

Database: SQLite, Redis

Cloud & DevOps: Docker containerization, cloud deployment

Preferred Experience:

AI Frameworks: Experience with multi-agent frameworks

NLP: Natural language processing and text analysis

Financial Technology: Background in financial fraud detection or trading systems

Large-scale Systems: Experience with systems serving millions of users

Qualifications:

Master's Degree in Computer Science or related field

5+ years of software development experience in R&D roles

Proven track record of developing and deploying machine learning models

Experience with large-scale software systems serving millions of users

Background in telecommunications or cybersecurity software development

Work Environment:

Location: Hong Kong (with potential for remote work arrangements)

Technology Stack: Modern, cloud-native architecture with AI-first approach

Compensation & Benefits:

Competitive Salary: Based on experience and qualifications

Performance Bonuses: Tied to project milestones and system improvements

Professional Development: Access to AI/ML conferences and training programs

Health Benefits: Comprehensive health insurance coverage

Work-Life Balance: Flexible working hours and remote work options

Application Process:

Interested candidates should submit:

1. Resume/CV highlighting relevant AI/ML and software development experience

2. Portfolio of machine learning projects and code samples

3. Cover Letter explaining interest in the role and relevant experience

Contact Information:

For questions about this position or to submit applications, please contact us:

Phone: Aman – Email: -

Job Type: Full-time

Pay: From $20,000.00 per month

Work Location: In person

• Spearhead the transition of machine learning models from development to production, ensuring seamless integration and high-performance outcomes.
• Partner with business stakeholders, developers, infrastructure teams, and external collaborators to deliver AI models that align with business goals and performance expectations.
• Architect and deploy machine learning inference pipelines to process live data efficiently, generating actionable insights with precision.
• Create comprehensive technical documentation and analytical reports to support project deliverables.
• Engage in project discussions, providing updates on task progress and coordinating follow-up actions to ensure timely delivery.

• Bachelor's Degree in Computer Science, Data Science, or a related field.
• 6+ years of IT experience with hands-on expertise in deploying and designing AI models
• Deep understanding of supervised machine learning algorithms
• Strong programming skills in Python, leveraging libraries.
• Exceptional problem-solving capabilities.
• Outstanding communication and presentation skills.
• Fluent in written and spoken English and Chinese.

About the client

Our client is a reputable organization within the financial services with a diversify their portfolio across multiple locations and they are now seeking for a Data Science & AI Initiatives Lead to join the team

About the role

Reporting to the department head, you will oversee the delivery of innovative analytics and AI initiatives within the financial services domain. This position combines hands-on expertise in machine learning and analytical modeling with leadership in program management, ensuring that projects fulfill business needs and support organizational growth. Work closely with multidisciplinary teams to set project scope, objectives, and delivery targets for AI and data-related programs. Manage and coordinate several concurrent projects, keeping them aligned with the organization's strategy and completed on schedule and within scope. Working with different business stakeholders, you will develop clear action plans, track progress, and address risks to ensure successful outcomes across all AI and analytics efforts. Facilitate Agile practices, such as sprint planning and stand ups, while encouraging team collaboration and inclusion. Lastly, lead in designing and implementing advanced machine learning and data analytics approaches using varied data sources to improve decision-making and customer experience.

The successful applicants

• Bachelor's degree or higher in a relevant field, such as Computer Science, Data Science, or Statistics.
• At least 8 years' experience delivering data analytics or AI/ML projects, ideally in financial services.
• Advanced skills in machine learning, NLP, supervised and unsupervised modelling, and using languages such as Python or SAS.
• A strong ability to translate analytics into practical business improvements.
• Experience in Agile environments and working within collaborative teams.
• High sense of initiative and a continuous improvement mind set to drive innovation and service excellence
• Excellent communication in English and Chinese with skill in sharing technical concepts across audiences

Click "Apply Now" to apply for this position or call Karen Cheng at for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.

In Hong Kong - Hong Kong

Looking for an innovative, agile work environment where you can have an impact on big-name companies and startups? Join Simon Kucher's service line for digital consulting projects "Elevate".

Be part of a dynamic team delivering digital growth by combining specialist knowledge in tech and data with creativity to deliver end-to-end projects with proven impact across industries.

Help businesses make informed decisions and drive growth by transforming raw data into actionable insights. Ready to boost your personal development in data science, analytics, and AI? Become a pioneer of the digital transformation and support us as a Data Science Consultant.

What makes us special:

• Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.
• Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.
• Enjoy balance and flexible working. Be empowered to do your best work – whether it's remotely or in the office.
• Prioritize your health and wellbeing. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.
• Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

How you will create an impact:

• Work on solving interesting problems for clients in the space of commercial excellence, i.e., pricing, sales and go to market, or all activities related to growth topics
• Work across different industries, e.g., B2B, B2C, software, life sciences etc. in solving client's commercial problem
• Work with data, leveraging tools like Excel, Tableau, Power BI etc. to conduct deep and meaningful analyses. Draw insights to solve client's problems and give recommendations
• End-to-end ownership of workstreams within projects, which entails collecting data, conducting deep analysis, drawing insights, creating slides & engaging with stakeholders
• Contribute to the development of the Hong Kong office

Your profile:

• Degree in Computer Science, Statistics or related field would be ideal
• Experience with Python, SQL, GIT/Jira, Unix/Linux, Cloud Platforms (AWS/Azure) would be ideal
• Strong expertise in Business Analytics Modelling, BI/ Visualization Analytics (Power BI/Tableau), Business Analytics in R, Statistics with Python, Marketing Analytics
• Quick learner, inquisitive by nature, ability to learn independently
• Clear communication of highly technical material to general audience would be ideal
• A unique blend of Data Science technical understanding, deep industry expertise, and consulting experience would be most desirable
• Willingness and ability to work as part of a team

If you're interested, and if you'd like to offer your skills and commitment to our international team, then we would be pleased to receive your application.

Hit the 'Apply Now' button to begin your application

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30 countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world's leading pricing and growth specialist. simon- We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.

Your personal contact:

Melanie Weller

Melanie.-

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role
The candidate will be a passionate and forward-thinking GenAI Data Scientist to support company's key business initiatives and projects. S/he will be responsible for curating and developing technical capabilities for the Data Science Team, from gatekeeping the choice of technologies to the implementation of technical solutions.

The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. We expect the candidate to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. We expect the candidate to be a hands-on thought leader, capable of both high-level strategic thinking as well as hands on ability to execute.

Roles And Responsibilities
Functional Duties (80%)

• Design and implement data and AI models to support use cases for various business functions.
• Promote re-use and cross business function awareness of best practices, challenges, etc.
• Build and launch excellent productionalized, low-maintenance models and AI solutions.
• Explore and leverage state of the art AI/ML techniques for a variety of problems at the intersection of AI/ML.
• Develop, maintain and enhance AI/ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
• Partner with architecture team, application teams and data analytics platform team to streamline our systems architecture, tech stack, and internal framework to support a central analytics function.
• Lead efforts to select and implement the AI and analytics technologies required to support AIA HK business initiatives.
• Drive technology investments that utilize AI and analytics as strategic tool.
• Define the most important growth metrics that track the business's performance across different functions and utilize those to affect change.
• Partner with stakeholders within the organization to identify and execute on analytical needs/gaps.
• Experience developing and deploying AI/ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Promote and educate responsible use of AI to all stakeholders in the organization

People Management Duties (20%)

• Direct activities of a team of data scientist and analysts, and project team members.
• Identify, train and develop potential data scientists.
• Implement staff management activities to align with company directive.

Job Requirements

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
• 10+ years of relevant experience, at least 1 year in GenAI
• Excellent analytical capability and understanding of various AI and analytical techniques
• Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
• Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
• Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
• A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
• Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
• Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
• Ability to proactively identify gap and address AI and data analytics related issues
• Ability to learn and adapt quickly to new business domains and technologies.
• Ability to conceptualize and articulate ideas clearly and concisely.
• Hands-on experience with modern enterprise data architecture and data science toolkits.
• Sound problem solving and decision-making ability
• Proven ability to identify innovation opportunities, define and deliver innovative business function
• Ability to work independently and with team members from different backgrounds
• Sound business knowledge in insurance industry
• Excellent communication, presentation, consultative and interpersonal skills

Others

• You are required to obtain relevant license if your job involves in regulated activities

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role

• Complete underwriting assessments within personal authority levels
• Achieve service level, productivity, and quality targets
• Strong adviser communication and relationship building
• Developing and maintaining positive working relationships with all stakeholders

Roles And Responsibilities
Projects & Reports (90%)

• To create and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome
• Develop AI and Machine learning solutions to optimize business performance
• Help to develop customizable reports / production-ready dashboards for clients
• Build and launch excellent productionalized, low-maintenance models.
• Explore and leverage state of the art machine learning techniques for a variety of problems at the intersection of Machine Learning and Crypto.
• Participates in projects relating to actuarial solutions, service enhancement or business initiatives
• Prepares regular and ad hoc underwriting reports as required

Other responsibilities (10%)

• Performs other responsibilities and duties periodically assigned by supervisor in order to meet business requirements

Minimum Job Requirements

• University/Collage graduate with 2 - 4 years' experience OR
• Form 5 graduate plus 6 - 8 years related experience
• Problem – solving and communications skills
• Good communication skills in English, Cantonese and Mandarin
• Proficiency in Microsoft applications

Others

• You are required to obtain relevant license if your job involves in regulated activities

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Roles and Responsibilities:

• Data Analysis & Actionable Insights: Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to business.
• Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance, and policy optimization. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
• Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
• Presentation and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Technical Skills:

• Proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
• Strong knowledge of statistical analysis techniques and modeling methods.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Expertise in SQL for data manipulation and querying.
• Experience with data visualization tools like Tableau, Power BI.

Experience:

• Minimum 3–5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
• Proven track record of developing and implementing machine learning models in production environments.
• Strong ability to work with large, complex datasets and derive actionable insights.