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Data Scientist Azure ML

Data Scientist
  
12-month contract
  
Negotiable on day rate, open to Pty Ltd
  
Azure Machine Learning (Azure ML) and MLOps best practices.
  
Key Responsibilities:
  
Understand business needs & value creation.

• Collaborate with stakeholders to identify business challenges where AI/ML can drive measurable improvements.
• Define success metrics and ensure alignment with business objectives.

  
Develop quick proof-of-concepts

• Rapidly build and validate ML prototypes to demonstrate feasibility and value.
• Iterate based on feedback, refining models and methodologies for production readiness.

  
Build and deploy scalable ML solutions
  

• Design, develop, and deploy end-to-end AI/ML models on Azure ML to solve complex commercial challenges

• Own the entire ML lifecycle, including data preprocessing, feature engineering, model selection, hyperparameter tuning, model validation, deployment, and monitoring.

• Optimise feature extraction techniques, implement robust model evaluation strategies, and ensure effective inference for real-time and batch scoring using Azure ML Endpoints.

• Develop efficient and reusable ML workflows and pipelines, ensuring automated feature engineering, model retraining, and performance tracking across multiple projects.

• Implement and enhance MLOps strategies, integrating CI/CD, automated monitoring, drift detection, and model retraining mechanisms to maintain model integrity over time.

• Collaborate with data engineers and software engineers to integrate feature stores, scalable data processing pipelines, and model-serving frameworks into production applications, ensuring seamless deployment and reliability.

Senior Data Engineer – VC Back Aussie Scale Up – Come and build a great Data Platform.

• Melbourne CBD – Hybrid
• Salary negotiable + more
• VC Back Aussie Scale-Up

Own the Data Platform