Senior ML Platform Engineer, AI Platform at Airwallex - Singapore

Role Overview

Airwallex is seeking a skilled and passionate Senior ML Platform Engineer to join our AI Platform team in Singapore. As a key member of our brand-new AI team, you will be instrumental in building cutting-edge AI and its platforms to transform our support and automation solutions for both internal teams and external customers. Your role will involve designing, implementing, and maintaining the core MLOps platform that empowers our Data Science and ML Engineering teams to rapidly develop, deploy, and monitor high-performance models at scale. Crucially, you will contribute to the evolution of our unified AI Platform, covering both traditional ML and our growing LLM (Large Language Model) platform. This is a fantastic opportunity to be at the forefront of AI innovation within a rapidly growing global fintech company.

A Day in the Life

Your day-to-day activities as a Senior ML Platform Engineer at Airwallex will be varied and challenging. You might start by collaborating with Data Scientists to understand their infrastructure needs for a new model. This could involve designing a new CI/CD pipeline or optimizing an existing one for faster training. Next, you might work on automating infrastructure provisioning using Terraform, ensuring our ML infrastructure scales efficiently and securely on our cloud provider. You could also be implementing monitoring and alerting systems to proactively identify and resolve issues related to model performance or infrastructure health. Throughout the day, you'll be involved in code reviews, troubleshooting production issues, and documenting your work to ensure maintainability and knowledge sharing within the team. A portion of your time will be spent researching and experimenting with new MLOps technologies and best practices to continuously improve our platform.

Why Singapore?

Singapore is a vibrant hub for technology and innovation in Southeast Asia. Airwallex's presence in Singapore reflects its commitment to serving the Asia-Pacific market and attracting top talent. Choosing Singapore as your work location offers numerous benefits. The city boasts a highly skilled workforce, a stable political environment, and a strong regulatory framework. Singapore also provides a high quality of life with excellent infrastructure, healthcare, and education systems. You'll have the opportunity to network with industry leaders, attend tech conferences, and participate in a thriving startup ecosystem. Furthermore, Singapore's central location makes it an ideal base for exploring other countries in Southeast Asia. Airwallex Singapore provides a diverse and inclusive environment for its employees.

Career Path

At Airwallex, we believe in fostering the growth of our employees. The Senior ML Platform Engineer role offers a clear career path within the AI Platform team. Initially, you will focus on mastering our existing MLOps infrastructure and contributing to its ongoing development. As you gain experience, you can progress to a Staff Engineer role, where you will take on more responsibility for the technical direction of the platform and mentor junior engineers. You could also specialize in a particular area of MLOps, such as model serving or infrastructure automation. For those interested in management, there are opportunities to move into an Engineering Manager role, leading a team of ML Platform Engineers. Airwallex provides ample opportunities for learning and development through training programs, mentorship, and exposure to challenging projects. The internal mobility programs also allow exploring other areas of engineering across the company.

Salary and Benefits

The estimated salary range for a Senior ML Platform Engineer in Singapore is between $120,000 to $220,000 USD per year. Note that the actual salary may vary depending on experience, skills, and qualifications. Airwallex offers a comprehensive benefits package that includes: * Competitive salary and equity. * Comprehensive health insurance. * Generous paid time off. * Professional development opportunities. * Flexible work arrangements. * Employee assistance program. * Wellness programs. * Company-sponsored events and activities. Airwallex is committed to providing its employees with a supportive and rewarding work environment. The benefits package is designed to attract and retain top talent and ensure that employees have the resources they need to thrive both personally and professionally.

Airwallex Culture

Airwallex has a fast-paced, collaborative, and innovative culture. We value individuals who are passionate about solving complex problems, take ownership of their work, and are always willing to learn. We encourage open communication, transparency, and a data-driven approach to decision-making. Our operating principles guide our behavior and ensure we are all working towards the same goals. We believe in empowering our employees to make a real impact on the company and the world. We foster a diverse and inclusive environment where everyone feels valued and respected. We celebrate our successes and learn from our failures. Airwallex is a place where you can grow your career, make a difference, and be part of something special. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking.

How to Apply

If you are a passionate and skilled ML Platform Engineer looking for a challenging and rewarding opportunity, we encourage you to apply! Please submit your resume and cover letter through the Airwallex careers website. In your cover letter, highlight your relevant experience, skills, and qualifications. Explain why you are interested in working at Airwallex and how you can contribute to our AI Platform team. Be sure to mention any specific projects or accomplishments that demonstrate your expertise in MLOps. We review applications carefully and will contact you if we believe you are a good fit for the role. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

Here are some frequently asked questions about the Senior ML Platform Engineer role at Airwallex: 1. **What are the key skills required for this role?** The key skills include expertise in MLOps, Kubernetes, Cloud Services (AWS, GCP, Azure), Infrastructure as Code (Terraform), CI/CD/CT pipelines (Argo, Kubeflow Pipelines), model serving infrastructure, monitoring and alerting systems, Python, and ML frameworks (TensorFlow, PyTorch). 2. **What is the team structure like?** You will be part of the AI Platform team, working alongside Data Scientists, ML Engineers, and other Platform Engineers. The team is collaborative and supportive, with a focus on innovation and continuous improvement. 3. **What is the company culture like?** Airwallex has a fast-paced, collaborative, and innovative culture. We value individuals who are passionate about solving complex problems, take ownership of their work, and are always willing to learn. 4. **What are the opportunities for career growth?** There are clear career paths within the AI Platform team, with opportunities to progress to Staff Engineer, Engineering Manager, or specialize in a particular area of MLOps. Airwallex provides ample opportunities for learning and development. 5. **What is the interview process like?** The interview process typically involves a phone screen, a technical interview, and a final interview with the hiring manager. The technical interview will assess your skills in MLOps, Kubernetes, and other relevant technologies. 6. **What is the work-life balance like?** Airwallex offers flexible work arrangements and is committed to providing its employees with a healthy work-life balance. 7. **What is the dress code?** The dress code is casual. 8. **What are the working hours?** The working hours are typically 9am to 6pm, but may vary depending on the needs of the team. 9. **What is the company's policy on remote work?** Airwallex offers flexible work arrangements, including the possibility of remote work for certain roles. 10. **What is the company's approach to diversity and inclusion?** Airwallex is committed to creating a diverse and inclusive work environment where everyone feels valued and respected.