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Engineering Manager (MLOps) - MoneyLion

MoneyLionMYS - Kuala LumpurProduct & Portfolio
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
16 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Engineering Manager for MLOps position at MoneyLion in Kuala Lumpur offers a chance to lead the advancement of next-generation machine learning platforms and infrastructure. This full-time remote role within the Product and Portfolio department suits an experienced technical leader who enjoys driving innovative financial technology solutions.

Key Responsibilities

Direct a team of MLOps engineers in researching, designing, and prototyping frameworks to accelerate the machine learning lifecycle.
Partner with data scientists, data engineers, and AI engineers to optimize cross-team workflows and shorten deployment times.
Increase automation levels across the development and deployment phases of machine learning.
Coordinate with IT operations and DevOps teams to seamlessly integrate infrastructure platforms with other business applications.
Build and maintain monitoring systems for production machine learning models while overseeing governance standards.
Monitor and optimize cloud infrastructure spending to ensure cost efficiency and financial transparency.
Create and execute disaster recovery and business continuity plans for cloud platforms.
Ensure platform reliability by participating in an on-call rotation to resolve critical incidents.

Requirements

Demonstrated background in managing software development teams within enterprise organizations.
Solid software engineering foundations, including code patterns, code reviews, unit testing, and test-driven development.
Practical background in scaling and managing data pipelines and machine learning algorithms in production.
Hands-on production experience with Kubernetes, specifically with Amazon EKS and a deep understanding of architecture.
Proficient programming abilities in Python, Java, and SQL.
Strong troubleshooting, problem-solving, communication, and collaboration skills.
Experience designing tools that support data analysts and scientists.
Capacity to maintain multiple codebases through code reviews and pair programming.

Nice to Have

Familiarity with MLOps tools such as MLFlow, DVC, Metaflow, Ray, and Chalk.

Skills and Tools

Python
Java
SQL
Kubernetes
MLOps
EKS
MLFlow
DVC
Metaflow
Ray
Chalk

About the Company

MoneyLion operates as part of Gen, a global organization focused on digital freedom, cybersecurity, online privacy, identity protection, and financial wellness solutions for nearly 500 million users across over 150 countries. The Kuala Lumpur office functions as the technology powerhouse for MoneyLion, housing a multicultural team dedicated to disrupting the traditional finance sector.

How to Apply

Interested candidates should visit the official company careers page to submit an application and review the complete hiring process details.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based in Kuala Lumpur, Malaysia, with remote work flexibility.

What department does this role belong to?

The role sits within the Product and Portfolio department.

What technical skills are required?

Candidates must be proficient in Python, Java, SQL, and Kubernetes, with a strong background in MLOps and software engineering best practices.

What is the primary focus of the MLOps Engineering Manager?

The manager leads a team of MLOps engineers to design, build, and refine machine learning infrastructure, automate deployment processes, and ensure production model reliability.

What company owns MoneyLion?

MoneyLion is part of Gen, a global company delivering consumer cyber safety and financial wellness solutions.

Ready to apply?

The application is on the official MoneyLion careers page.

Apply on company site