68 AI Testing jobs in Malaysia

Job Responsibilities:

• Identify and implement appropriate test automation tools, frameworks and technologies within organization
• Collaborate with software analysis team to understand test requirements and translate to automated test cases
• Design, develop and maintain automated test scripts and frameworks using appropriate and up-to-date automation testing tools and programming languages
• Participate in project planning and estimation activities to ensure that testing activities are properly scoped and resourced.
• Responsible to execute automated test scripts and analyse test results
• Investigate and debug test failures, identify root cause and work with development team to resolve issues
• Maintain and update test scripts and frameworks to accommodate changes in systems
• Analyse and summarise automated test results
• Provide insights, recommendations, knowledge and best practices with QA team, development team and stakeholders to improve overall test automation effectiveness

Job Requirements:

• Degree/ Diploma in Information Technology or related disciplines
• Minimum 2 years hands-on working experience in software testing using automated testing tools
• Good technical knowledge in up-to-date software testing methodologies and automated testing tools (e.g. Selenium, Apache JMeter)
• Strong analytical and problem-solving skills
• Ability to work independently
• Able to work after normal working hours or weekends as and when required

Associate

Full-time

Information Technology, Quality Assurance, and Strategy/Planning

Financial Services, Investment Management, and Investment Banking

NEXLAW.AI is a pioneering legal AI company dedicated to revolutionizing the legal industry through intelligent automation and machine learning. Based in San Francisco, California, with global operations and a focus on providing "Litigation & Dispute Resolution" AI solutions, NEXLAW.AI develops innovative tools such as TrialPrep, NeXa - Legal Assistant and ChronoVault to assist legal professionals and individuals in optimizing legal research, streamlining Trial Preparation.

Role: Machine Learning Engineer

Location: Puchong, Malaysia

Salary Range: MYR 4,000 - 7,000 per month

Position Overview

We are seeking a highly motivated and detail-oriented Machine Learning Engineer to join our fast-paced, high-performing engineering team. The ideal candidate is passionate about artificial intelligence and has a strong academic foundation, particularly in Natural Language Processing (NLP) and Python development. This role plays a key part in building and improving our AI-powered legal technology platform, with a focus on data preparation, model training, and deploying intelligent solutions that support legal professionals worldwide.

Responsibilities

• Model Development and Implementation: Design, develop, and deploy machine learning models and algorithms tailored for legal applications, including Natural Language Processing (NLP) tasks such as text summarization, contract analysis, and legal document generation.
• Data Preparation and Feature Engineering: Collaborate with data scientists and legal experts to preprocess, clean, and analyze large legal datasets, ensuring data quality and relevance for model training.
• Model Optimization and Evaluation: Evaluate the performance of machine learning models, fine-tune hyperparameters, and implement strategies to improve accuracy, efficiency, and scalability.
• Infrastructure and Deployment: Work closely with software engineers to integrate ML models into production systems, managing and maintaining the infrastructure necessary for scalable and reliable AI solutions.
• Research and Innovation: Stay abreast of the latest advancements in machine learning and AI, applying innovative techniques to enhance existing products and develop new functionalities within the legal tech domain.

Qualifications

• Education: Degree in IT, Engineering, Computer Science, or related fields.
• 1-3 years working experience in related fields
• CGPA: Minimum 3.5 CGPA (or provide a recommendation letter if lower).
• Proficiency in Python (including libraries like pandas, numpy, nltk, sklearn, requests, bs4).
• Experience with Natural Language Processing (NLP) (a must).
• Familiarity with Jupyter Notebook or PyCharm IDE.
• Strong teamwork, interpersonal, and communication skills.
• Ability to work in a fast-paced environment.
• Experience in machine learning, NLP, computer vision, or neural networks.
• Practical experience with Python libraries for machine learning tasks.
• Familiarity with data analysis and visualization tools.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at NEXLAW AI by 2x

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On our Perception team , you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
• Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization)
• Optimize training with large data and distributed machines
• Collaborate with cross-functional teams to implement scalable solutions and improvements
• Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.

What We’re Looking for:

• Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• 1+ years of experience with deep learning frameworks such as Pytorch
• Strong programming skills in C++, TensorRT, and/or CUDA programming
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry

• Collaborate with Cross-Functional Teams: Work closely with various operation teams to develop, deploy and maintain machine learning models and computer vision algorithms aimed at enhancing manufacturing efficiency, productivity and improve decision making.
• Design and implementation: Design and implement machine learning models and computer vision systems for quality control, defect detection, and process optimization within manufacturing environment.
• Application Development: Develop user-friendly applications to facilitate the deployment and utilization of machine learning models and computer visions systems in production settings.
• Testing and Validation: Conduct rigorous testing and validation of deployed models to ensure their accuracy, reliability, and effectiveness in real-world scenarios.
• Documentation: Create and maintain comprehensive documentation for machine learning models, computer vision systems and deployment processes to ensure transparency and reproducibility.
• Project Updates: Participate in regular team meetings and provide updates on project progress, share insights, and collaborate on problem-solving strategies.
• Ensure on-time delivery of the tasks and projects.
• Meeting and exceeding management and peers' expectation on the department services quality.
  
  

• Degree in Computer Science, Data Science, Electrical Engineering (or a related field)
• Strong programming skills in Python, R or other relevant languages.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Familiarity with computer vision libraries like OpenCV.
• Knowledge of application development and deployment tools.
• Understanding of data manipulation tools like Pandas and NumPy.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills to effectively convey technical concepts.

-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and tools.
• Ability to evaluate ML models, interpret results, and make data-driven decisions.

• Remote Working
• Competitive salary of MYR 144000-18000 annually.
• Performance-based bonus and additional benefits.
• A collaborative and innovative company culture.
• Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!

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

Referrals increase your chances of interviewing at MoneyLion by 2x

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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.