MLOps Engineer, Intern

Job Overview

Application

About Gen
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

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! Kindly note that this internship is only open to Malaysian nationals, with final year students preferred.

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.

About 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.

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's Next...

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

TA Call
Take-Home Assessment
Interview - Hiring Manager (Virtual or face-to-face)

Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.