MLOps Engineer, Intern - MoneyLion
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 innovation and thrive in a fast-paced, challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry! This internship will be 6 months long, starting from June 2026 to December 2026. Kindly note that this internship is only open to Malaysians or international students already studying in Malaysia.
As an MLOps Engineer Intern, you will have the exciting opportunity to contribute to building the next generation of MoneyLion’s machine learning platform and infrastructure. Working alongside experienced engineers, data scientists, and AI specialists, you will help design, prototype, and refine tools and systems that enable scalable machine learning development as well as deployment. This internship will offer hands-on exposure to real-world machine learning operations (MLOps) practices within a leading fintech environment.
Key Responsibilities
Assist in researching and prototyping MLOps tools, frameworks, and best practices to streamline the machine learning lifecycle at MoneyLion.
Develop tools and abstractions that empower Data Scientists to rapidly iterate on models.
Collaborate with Data Scientists, Data Engineers, and AI/ML Engineers to improve workflows and accelerate model deployment.
Assist Data Scientists with resource provisioning in the model development and deployment phase.
Help maintain monitoring systems for machine learning models in production environments.
Contribute to optimizing cloud infrastructure usage and enhancing transparency around resource costs.
Participate in initiatives to enhance the reliability and scalability of MLOps platforms.
About You
Currently pursuing a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
Solid understanding of software engineering fundamentals such as coding best practices, version control, and unit testing.
Experience (academic or project-based) working with Kubernetes; familiarity with EKS is a plus.
Proficient in Python and SQL.
Strong problem-solving skills and a passion for learning new technologies.
Effective communication and collaboration skills; eager to work in a dynamic, fast-paced team environment.
Exposure to or interest in MLOps tools such as DVC, MLFlow, Metaflow, or Ray is a plus.
What You’ll Gain
Hands-on experience working in a production-grade MLOps environment.
Mentorship from experienced MLOps Engineers, Data Scientists, and DevOps professionals.
Exposure to cutting-edge cloud technologies, machine learning practices, and fintech applications.
Understanding how to build machine learning solutions and platforms at scale.
Opportunity to contribute meaningfully to high-impact projects that support MoneyLion’s AI and ML initiatives.
What's Next...
After you submit your application, you can expect the following steps in the recruitment process:
- TA Call
- 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 were not selected, please reapply after 6 months.*
What We Value
We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation. Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.
Working At MoneyLion
At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:
- 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
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.
#LI-MLN
Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.
We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.