About Fundo
Fundo is a trusted and innovative financial services provider specialising in small loans with same day approval in Australia and recently launched in Texas, USA.

Fundo Loans is the Top 100 Fastest Growing Company for 3 years in a row in Australia (AFR FAST 100 LIST). We have no investors and are completely in control of our own destiny! Our mission is to provide innovative financial solutions that empower individuals to achieve their goals. With a focus on cutting-edge technology and exceptional customer service, we are committed to driving financial inclusion for all.

About the Role
We are looking for a Machine Learning & Data Engineer to help build and optimize our
data and ML infrastructure in a fast-paced fintech environment. This role sits at the
intersection of data engineering, MLOps, model governance, and automation, focusing on
building scalable ML infrastructure, ensuring robust feature pipelines, and streamlining
model deployment, monitoring, and retraining in production.

What You’ll Do
● Data & Feature Engineering: Build and automate feature stores, ensuring efficient
access to historical and real-time features for ML models.
● ETL & Reporting Pipelines: Develop scalable data pipelines to support ML
training, inference, and analytics.
● ML Deployment & Monitoring: Deploy, optimize, and monitor ML models using
Flask, FastAPI, Docker, and MLflow.
● MLOps & Governance: Automate model training, monitoring, and degradation
detection, ensuring reliability and scalability.
● Cloud & DevOps: Deploy ML pipelines on AWS (ECS Fargate, SQS, S3, Lambda,
Step Functions) with CI/CD automation using GitHub Actions.
● Collaboration & Problem-Solving: Work closely with data scientists and engineers
to enhance data workflows and model performance.

What We’re Looking For
● Strong SQL & Python skills for data engineering and ETL.
● Experience with feature stores and automated feature pipelines.
● ML deployment expertise (Flask/FastAPI, Docker, MLflow).
● Cloud & DevOps knowledge (AWS, containerized workflows, CI/CD).
● Software engineering mindset – writing efficient, scalable, maintainable code.
● Bonus: Infrastructure as Code (Terraform), experience with model monitoring and
automated retraining.