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Opus Recruitment Solutions

MLOps Data Engineer

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Summary

Six-month contract in Melbourne (hybrid, 2 days/week in office) for a gambling organization: build and maintain ML/data platforms using Databricks, FastAPI, AWS and Terraform, operationalize ML pipelines, and support recommendation/personalization systems.

Salary: AUD 800 - 900 per day

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
  • Strong 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

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