ML/AI Engineer
4 days ago
About the Client: A Sydney-based utilities provider leveraging advanced data and AI technologies to drive operational efficiency and customer innovation. This role supports a short-term initiative focused on deploying scalable machine learning solutions using Microsoft Azure and Databricks.
About the Role: We are seeking a Junior Machine Learning Engineer to support the design, development, and deployment of ML solutions on Azure and Databricks. This Sydney CBD-based role offers the opportunity to work on cutting-edge AI/ML projects, including Generative AI and LLM implementations, within a collaborative and fast-paced environment.
Key Responsibilities:
- Build and maintain ML pipelines using Azure Databricks.
- Support data ingestion, feature engineering, model training, and deployment.
- Collaborate with Data Scientists to productionise models.
- Use Azure ML services for experimentation and model management.
- Assist in deploying LLM and GenAI solutions, including RAG architectures.
- Work with Python, PySpark, and SQL for data processing and analysis.
- Contribute to CI/CD pipelines using Azure DevOps.
- Monitor model performance and troubleshoot issues.
Required Experience:
- 2+ years in AI/ML engineering, ideally in cloud environments.
- Hands-on experience with Azure Databricks and Azure ML.
- Proficiency in Python (including PySpark) and SQL.
- Understanding of ML algorithms, deep learning, and MLOps.
- Exposure to containerization (Docker) and orchestration (Kubernetes).
- Experience with Generative AI or LLMs is a strong advantage.
What's on Offer? This is a contract opportunity:
- 3-month contract with possible extension
- $460/day package
- Sydney CBD location
- Work on innovative AI/ML projects with modern cloud tools
How to Apply: To express interest, please upload your resume. Suitable candidates will be contacted with further instructions.
 Contact Dylan Sheoshker at  or 
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