Senior MLOps Data Engineer - Databricks - Hybrid 2 days pw in office - 6 Month Contract

$800 - 900pd inclusive of super

Melbourne

I am exclusively partnered with a gambling organization based in Melbourne looking for an MLOps engineer to work with AWS, Databricks, IaaC, Recommender systems

What You Will Be Doing:

- Designing, building, and maintaining scalable ML and data platforms using Databricks, FastAPI, and AWS
- Building and supporting recommendation and personalisation systems that drive business outcomes
- Developing and operationalising machine learning pipelines, from data ingestion through to model deployment and monitoring
- Implementing Infrastructure as Code (IaC) using tools such as Terraform and AWS-native services
- Collaborating with Data Scientists, ML Engineers, Data Engineers, and Architects to deploy and manage production-grade AI solutions
- Establishing ML monitoring, observability, governance, and model performance frameworks
- Optimising data pipelines and feature engineering processes to support scalable machine learning use cases

What You Bring:




- 5+ years of experience in Data Engineering, MLOps Engineering, or Machine Learning Platform Engineering
- Solid hands-on experience with Databricks , including Delta Lake, Unity Catalog, Workflows, and ML capabilities
- Proven expertise developing scalable data and machine learning pipelines using FastAPI
- Strong experience with AWS , including services such as S3, Lambda, ECS/EKS, SageMaker, Glue, or equivalent
- Commercial experience implementing Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tooling
- Experience deploying, monitoring, and maintaining machine learning models in production environments
- Exposure to building or supporting recommendation engines, personalisation platforms, ranking models, or customer analytics solutions

Senior MLOps Data Engineer - Databricks - Hybrid 2 days pw in office - 6 Month Contract $800 - 900pd inclusive of super

Melbourne

📌 MLOps Data Engineer (Melbourne)
🏢 Opus Recruitment Solutions
📍 Melbourne