396 AI Ethicist jobs in Malaysia

Company description:

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. "Sense the power of light" - our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the-art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.

Your new responsibilities

Job description:

• Develop and enforce governance frameworks: Define policies, procedures, and best practices for AI.
• Collaborate with legal, compliance, and data science teams to interpret and operationalize AI-related regulations (e.g., EU AI Act, GDPR, CCPA).
• Build and deploy governance tools and pipelines that monitor and log model performance, data provenance, audit trails, and decision-making transparency.
• Support model documentation (e.g., datasheets, model cards, factsheets) to ensure traceability and accountability, and documentation according to EU AI Act.
• Stay current with evolving regulatory, technical, and ethical standards in AI governance.
• Drive 3rd party AI solutions evaluation.
• Standardization: Ensure consistency in methodologies, tools, and reporting across teams within the company.
• Stakeholder Engagement: Maintain regular communication with business units AI experts.

Profile description:

• Bachelor's or Master's degree in Computer Science, Data Science or a related field.
• Experience with model auditing, fairness evaluation, explainability techniques, and monitoring tools.
• Familiarity with privacy-enhancing technologies and data protection regulations.
• Proficiency in Python and ML frameworks; knowledge of governance platforms and tools is a plus.
• Knowledge of MLOps and integration with CI/CD pipelines.
• Strong analytical and problem-solving skills, Agile Methods (SCRUM, SAFe).
• Understanding of cybersecurity and secure model deployment practices.
• Experience implementing governance solutions in enterprise environments.
• Experience in technical leadership roles & working in an international team.
• Strong cross-functional communication skills with the ability to collaborate across technical, legal, and policy teams.

We offer:

1. Global Collaboration Opportunities on New Exciting Projects
2. Flexible and Hybrid Working Mode
3. Diversified, Rewarding & Supportive Workplace

Responsibilities:

• Support development and implementation of the AI governance framework, policies, and procedures, ensuring the framework and related documents are practical, scalable, and aligned with regulatory expectations.
• Support quality assurance activities and reviews for Generative AI (GenAI) use cases including model comparison and selection, defining and applying model performance metrics, and setting and reviewing minimum thresholds and best practices.
• Assist in identifying and quantifying potential risks across the GenAI lifecycle, and work with stakeholders to develop mitigation plans that address operational, regulatory, and reputational considerations.
• Support development and maintenance of quantitative assessment tools and templates ensuring they remain current with emerging AI governance practices, risk metrics, and regulatory requirements.
• Provide guidance, advisory support, and oversight to business units on AI governance matters, ensuring consistency in application across the organisation.
• Assist to prepare presentation materials and dashboards for management reporting, governance committees, and internal training sessions to build awareness and capability in responsible AI practices.

Requirements:

• Bachelor's degree in a relevant field, e.g. Computer Science, Data Science, or Artificial Intelligence with couple experience in AI/ML development, model validation or AI risk or validation functions
• Strong understanding of AI/ML model evaluation; able to pick up evaluation for GenAI models including on output quality, robustness, and alignment with business and regulatory requirements.
• Experience with GenAI development would be highly advantageous.
• Familiarity with major cloud platforms (e.g. Azure, AWS) and their GenAI-related services.
• Knowledge of open-source AI/ML tools and libraries such as Hugging Face; hands-on experience would be preferred.
• Analytical thinking with high attention to detail.
• Strong communication skills to convey quantitative results to non-technical stakeholders.
• Self-starter with a high level of initiative and strong work ethic.
• Prior experience in financial services industry preferred.

Overview

AI Governance Specialist, AI/ML COE, Group Data & Analytics, Group Strategy & Innovation

Maybank Federal Territory of Kuala Lumpur, Malaysia

• Support development and implementation of the AI governance framework, policies, and procedures, ensuring the framework and related documents are practical, scalable, and aligned with regulatory expectations.
• Support quality assurance activities and reviews for Generative AI (GenAI) use cases including model comparison and selection, defining and applying model performance metrics, and setting and reviewing minimum thresholds and best practices.
• Assist in identifying and quantifying potential risks across the GenAI lifecycle, and work with stakeholders to develop mitigation plans that address operational, regulatory, and reputational considerations.
• Support development and maintenance of quantitative assessment tools and templates ensuring they remain current with emerging AI governance practices, risk metrics, and regulatory requirements.
• Provide guidance, advisory support, and oversight to business units on AI governance matters, ensuring consistency in application across the organisation.
• Assist to prepare presentation materials and dashboards for management reporting, governance committees, and internal training sessions to build awareness and capability in responsible AI practices.

• Bachelor’s degree in a relevant field, e.g. Computer Science, Data Science, or Artificial Intelligence with couple experience in AI/ML development, model validation or AI risk or validation functions
• Strong understanding of AI/ML model evaluation; able to pick up evaluation for GenAI models including on output quality, robustness, and alignment with business and regulatory requirements.
• Experience with GenAI development would be highly advantageous.
• Familiarity with major cloud platforms (e.g. Azure, AWS) and their GenAI-related services.
• Knowledge of open-source AI/ML tools and libraries such as Hugging Face; hands-on experience would be preferred.
• Analytical thinking with high attention to detail.
• Strong communication skills to convey quantitative results to non-technical stakeholders.
• Self-starter with a high level of initiative and strong work ethic.
• Prior experience in financial services industry preferred.

• Associate

• Full-time

• Other and Analyst

• Banking and Financial Services

Overview

iSoftStone Federal Territory of Kuala Lumpur, Malaysia

iSoftStone Federal Territory of Kuala Lumpur, Malaysia

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• Oversee the full lifecycle of knowledge systems – design, develop, iteratively optimize, and maintain knowledge architectures to ensure accuracy, efficiency, and scalability in knowledge flow and application.
• Build and maintain data mining platforms – take charge of platform development to guarantee stable operation; additionally, lead technical development and support for online campaigns, ensuring seamless execution and user experience.
• Develop algorithms and train AI models – design and implement high-performance algorithms for data processing to streamline workflows; participate in AI model training, tuning, and optimization to enhance performance and alignment with business objectives.

• Solid Python/C++ development experience, familiar with multi-threaded programming, memory management, design patterns and Linux development environment, clear understanding and knowledge of Python/C++ syntax features, and good experience in high concurrent program development.
• Familiar with machine/deep learning theory and experience in training deep learning models.
• Familiar with the common algorithms in cv/nlp/recommnedation/sns is preferred.
• Familiar with crawler technology.
• Understanding of the internal implementation principles of Tensorflow/Pytorch is preferred.
• Experience in distributed system related projects, design capability and debugging ability of complex system software is preferred.
• Excellent communication skills in both Thai Native language or Filipino language (Tagalog) and minimum Mandarin (speaking and listening).

• Associate

• Contract

• Industries

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Overview

Machine Learning Engineer at HCLTech, Kuala Lumpur, Malaysia. This role focuses on technical engineering services for digital projects, cloud initiatives, cloud migrations, system expansions, refits, and cloud integrations with new and existing systems.

• Design, present, develop, and implement end-user or enterprise cloud services of significant complexity according to customer requirements, global standards, and security standards.
• Provide consultancy for internal and client teams; act as a key person for projects and initiatives (e.g., enabling new cloud services (AWS & Azure), service improvement, operations excellence).
• Collaborate daily with global team members and other IT teams to implement new capabilities.
• Implement and maintain high-quality documentation.

• Familiarity with Infrastructure as Code implementation is a plus.
• Certification in Agile methodologies (preferably Scrum) is a plus.
• Understanding of CI/CD is a plus.
• Expertise in Microservice Architecture.
• Valid Certification in AWS and/or Azure.
• Expertise managing AWS IAM and Azure SPN.
• Expertise in System design and Cloud Automation.
• Experience in system operation, application support or consulting with a focus on system/application server support & administration.
• Experience with Linux system administration and troubleshooting of system or network issues.
• Experience with AWS, Azure and OpenShift administration.
• Experience with Terraform Enterprise is a plus.
• English environment is mandatory; technical writing is an advantage.
• Experience with enterprise systems monitoring; knowledge of Prometheus, Zabbix, or Nagios is a plus.
• Experience with automation tools (Ansible or similar like Puppet or Chef).
• Nice to have: Kubernetes or Docker-based containers.

Mid-Senior level

Full-time

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
  
  

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.
  
  

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
  
  

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Description:

Mission:

• A key technical engineering service for all digital projects, including the new cloud brokering initiatives, cloud migration, system expansion, system refits, and cloud integrations with new and existing system.
• Design, present, develop and implement end-user or enterprise Cloud Service of significant complexity according to customer requirements in accordance with global standards and in line with Security standard.
• Consultancy for internal and client teams and key person for projects and initiatives (e.g. enabling new cloud service (AWS & Azure), service improvement, operations excellence, etc.).
• Collaborate daily with global team members and other IT teams to implement new capabilities.
• Implement and maintain high quality documentation.

Technical Expertise:

• Familiarity in Infrastructure as Code implementation is a plus.
• Certification in Agile methodologies (preferably scrum) is a plus.
• Understanding on CI/CD is a plus.
• Expertise on Microservice Architecture.
• Valid Certification in AWS and/or Azure.
• Expertise managing AWS IAM and Azure SPN.
• Expertise on System design.
• Expertise in Cloud Automation.
• Confirmed in system operation, application support or consulting role, with a focus on system/application server support & administration.
• Expertise on Linux sysadmin, familiarity at troubleshooting system or network issues.
• Expertise on AWS, Azure and Openshift administration.
• Expertise in Terraform Enterprise is a plus.
• English environment is mandatory. Technical writing is an advantage.
• Expertise with enterprise systems monitoring, knowledge of Prometheus, Zabbix, or Nagios is a plus.
• Expertise on automation (Ansible or similar tools like Puppet or Chef).
• Nice to have: Expertise with Kubernetes or Docker-based containers.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting and Software Development

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About the Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Machine Learning Scientist to help shape the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a deep interest in machine learning, AI and data driven solutions.

As a Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will act as the bridge to close the gap between complex machine learning technologies and practical business applications. You will be pivotal in identifying, developing and implementing machine learning strategies, translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

Key Responsibilities

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

*If you’ve already sent in your application for this position and werenot selected, please re-apply after 6 months.*

We valuegrowth-minded andcollaborative people with highlearning agility who embody our core values ofteamwork, customer-first andinnovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages and bonuses