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!

As a MLOps Engineer, you will have the opportunity to build the next generation of Moneylion's machine learning platform and infrastructure. You will lead initiatives to enable the deployment of machine learning solutions at scale. This entails proactively designing, prototyping, and continuously refining the underlying machine learning infrastructure to remove bottlenecks and expedite the modeling lifecycle. You will also help to define, establish, and enforce best practices in partnership with AI Devops, Data Scientists, Data Engineers, and AI Engineers across Moneylion.

Key Responsibilities

Conduct research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
Improve the level of automation in the development and deployment processes of machine learning.
Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.
Establish and maintain systems for monitoring machine learning models in production. Oversee the development of machine learning models at MoneyLion to ensure proper model governance.
Effectively manage cloud infrastructure costs by monitoring and optimizing spending, and provide transparency and accountability in cost-related matters.
Develop and implement disaster recovery and business continuity plans for cloud infrastructure platforms.
Responsibility for the dependability of the MLOps platforms and solutions. This entails participating in an on-call rotation to address critical incidents when necessary.

About You

Strong Software Fundamentals. Experienced with software development standards and best practices on software engineering in an enterprise organization, such as code pattern, code review, test-driven development, unit testing etc
Demonstrated practical experience with Kubernetes, with a preference for experience with EKS, in a production environment. In-depth understanding of Kubernetes architecture and its components.
Evaluate and implement best practices and new technologies to enhance application performance, accuracy, and cost efficiency
Proficient in Python, SQL
Strong problem-solving and troubleshooting skills and effective communication and collaboration abilities.
Design and ship applications that provide excellent user experience to data analysts and scientists
Maintain multiple codebases, conduct code reviews or pair programming to ensure high-quality code
Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Ray

What's Next...

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

Online Technical Test
Take-Home Assessment
Hiring Manager Interview

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.

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.

Senior MLOps Engineer