Azure AI ML Engineer - Azure AI Foundry Fabric Machine Learning MLOps Engineer

Infinity Pro
Sydney, NSW
A$1,000 p/d
Information & Communication Technology → Engineering - Software
Contract
Hybrid

Posted 6 days ago


  • Urgent and immediate start;
  • $1000 to $1400 per day depending on relevancy of experience;
  • Initial contract till end of June with prospect of renewal;
  • Mostly WFH with Wednesdays in office in Sydney CBD;
  • Work on cutting edge cloud data technologies;
  • Key transformation within Information Management practice;
  • End-user Organization;

To be successful for this role, your CV will need to reflect on following skill-set:

  • Proven experience in building and deploying machine learning models in Azure environments (Azure ML Studio, Azure Databricks, Azure Foundry).
  • Proficiency in R, Python, PySpark, SQL, and familiarity with containerization technologies (Docker, Kubernetes).
  • Hands-on experience with data science toolkits, libraries, and frameworks such as TensorFlow, PyTorch, scikit-learn, and Pandas.
  • Deep understanding of data structures, algorithms, and software engineering best practices.
  • Exceptional analytical and problem-solving abilities, coupled with strong communication skills.

As an Azure AI/ML Engineer, you’ll design, develop, and deploy advanced machine learning models and AI solutions within the Microsoft Azure ecosystem. You’ll work closely with data scientists, engineers, and business stakeholders to create scalable, high-impact AI applications that solve real-world challenges.

Key Responsibilities:

  • Build, train, and deploy machine learning models using Azure Machine Learning, Azure Cognitive Services, and Palantir Foundry.
  • Develop and optimise data pipelines for AI/ML workflows using Azure Data Factory, Databricks, or Synapse Analytics.
  • Integrate AI/ML solutions with business applications to deliver actionable insights and automation.
  • Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.
  • Ensure model performance, scalability, and reliability through rigorous testing and monitoring.
  • Implement MLOps best practices for model versioning, deployment, and monitoring.
  • Stay ahead of industry trends in AI, ML, and Azure technologies to drive innovation.

Best method to apply is using the application button on this advert. We can be contacted on (02) 9687 1025 for a confidential discussion but please ensure the resume has been sent.

Please ensure all documents are sent in Microsoft word format.


About Infinity Pro

Sydney, NSW, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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