Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

Machine Learning & MLOps Solutioning

• Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.
• Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.
• An in depth knowledge of AI core components , operations & techniques through their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems.

• Strong ability to implement, improve, and deploy ML and Math models
• Conduct systems tests for security, performance, and availability.
• Develop and maintain the design and troubleshooting/error documentation.
• Create cost effective scalable systems and develop innovative algorithm solutions.
• Research on algorithm improvements for higher performance, accuracy, and optimality.

  Decision intelligence

• Drive decision science aspects as a standard user experience -staff or customer- process (cognitive biases, cross-cultural reasoning, statistical interpretation, human factor impact, algorithmic bias etc.).
• Actively showcase the added value of design thinking, data-driven decisions, agile and user-centric methods.
• Support research (user and markets) and data processes for enhanced decision quality.
• Develop strategic action plans integrating human factors and data science to improve AI driven decisions and choice architecture (persuasive design).

  This job is ideal for you if you have:

• BS/MS/PhD in Science & Engineering (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, Finance , Econometrics).
• More than 10 yrs relevant experience
• Experience with common data science toolkits, programming languages, visualization tools and SQL/NoSQL databases.
• Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.
• Experience with distributed computing platforms and open-source tools and libraries.
• Experience developing and deploying to the cloud.
• Familiar or prone to adopt design thinking methods.
• Able to work under pressure and change, and balance among speed, reliability, interpretability.
• Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.
• Experience with code versioning, code review and documentation.
• Ability to work with incomplete or imperfect data to extract usable information.
• Attention to detail, data accuracy and quality of output.
• Be positive, passionate, collaborative, self-motivated, responsible, dependable and enthusiastic team player.
• Demonstrated skills in selecting the right statistical tools given a data analysis problem.
• Demonstrated effective written and verbal communication skills.
• Demonstrated leadership and self-direction.
• Demonstrated willingness to both teach others and learn new techniques
• Ability to mentor junior data scientists

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.