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MLOps Engineer - 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

MoneyLion is seeking a skilled MLOps Engineer to join the team in Kuala Lumpur on a full-time basis, with remote flexibility available. This role is ideal for an experienced technical professional who wants to shape the future of financial technology by building scalable machine learning infrastructure.

Role Overview

As an MLOps Engineer, the successful candidate will design, build, and operate the next generation of machine learning platforms and infrastructure at MoneyLion. This position enables data scientists and machine learning engineers to reliably transition models from experimental stages to large-scale production environments. Working closely with cross-functional technical teams, the individual in this role will streamline end-to-end machine learning workflows and optimize system architectures.

Key Responsibilities

Build, maintain, and design machine learning infrastructure and tooling covering the complete lifecycle from data preparation to automated retraining.
Develop and manage CI/CD pipelines specifically for machine learning models, ensuring safe rollout, rollback strategies, and automated testing.
Implement various deployment patterns including batch, streaming, and real-time to guarantee low-latency performance in production.
Establish comprehensive observability and monitoring systems to track model performance, data drift, and overall system health.
Partner with data science teams to productize models, standardize environments, and build efficient feature engineering pipelines.
Integrate machine learning workloads seamlessly with data engineering platforms while maintaining strict governance and data quality standards.
Promote engineering best practices focused on version control, reproducibility, experiment tracking, and thorough documentation.
Manage security, compliance, access control, secrets management, and cost optimization for all machine learning infrastructure.

Requirements

A bachelor degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical work experience.
Strong programming abilities using Python to construct production-grade services and tooling for data workflows.
Practical background working with major cloud platforms along with containerization and orchestration tools like Docker and Kubernetes.
Demonstrated experience establishing continuous integration and deployment pipelines for data or machine learning projects.
Familiarity with standard machine learning frameworks, toolkits, and platforms.
Solid comprehension of general software engineering principles including logging, automated testing, code reviews, and documentation.
Excellent communication abilities and a proven history of collaborating within cross-functional multidisciplinary teams.

Nice to Have

Specialized background in dedicated MLOps, ML platform, or ML infrastructure roles handling the complete model lifecycle.
Experience constructing or maintaining model registries, feature stores, and experiment tracking systems.
Exposure to near-real-time data processing and streaming tools such as Kafka.
Familiarity with data governance, privacy, and security practices tailored to machine learning architectures.
Experience utilizing observability stacks and configuring monitors for data quality and model performance.
Exposure to generative AI workloads and large language model tooling.

Skills and Tools

Python
PyTorch
TensorFlow
AWS
GCP
Azure
Kubernetes
Docker
Large Language Models (LLM)
MLOps
Kafka

About the Company

MoneyLion operates as part of Gen, a global organization committed to powering digital freedom and financial wellness through trusted consumer brands. The Kuala Lumpur office acts as a core technology powerhouse, fostering a multicultural environment of innovators who disrupt traditional financial industries.

How to Apply

Interested candidates should visit the official company careers page to submit an application and view further details about the hiring process.

Skills and tech stack

PythonPyTorchTensorFlowAWSGCPAzureKubernetesDockerLLMMLOpsKafka

Questions candidates ask

Where is this MLOps Engineer position located?

The role is based in Kuala Lumpur, Malaysia, with remote working options available.

What department does this role belong to?

This position is part of the Product & Portfolio department at MoneyLion.

What programming language is primarily required?

Solid programming skills in Python are preferred for this role.

What are the stages of the hiring process?

The hiring process includes an online technical assessment, a talent acquisition screening call, a live technical assessment, and a final virtual or face-to-face interview with the hiring manager.

Is experience with cloud platforms required?

Yes, hands-on experience with cloud platforms such as AWS, GCP, or Azure is required.

Ready to apply?

The application is on the official MoneyLion careers page.

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