AI/ML Engineer (Azure & Databricks)

• AI/ML Engineer (Azure & Databricks)
• Sydney
• Contract -3+ Months

Our client in Sydn eyis looking for AI/ML Engineer (Azure & Databricks) this is a Contract 3 + Months

role. Please email me at [email protected] for more information.

Job description:Responsibilities:

• Design, develop, and maintain scalable and robust machine learning pipelines and architectures on Azure Databricks.
• Implement and optimize ML workflows, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with Data Scientists to translate models into production-ready solutions, ensuring performance, scalability, and reliability.
• Utilize Azure Machine Learning (Azure ML) services for model management, experimentation, and MLOps best practices (e.g., MLflow).
• Develop and deploy Large Language Models (LLMs) and Generative AI (GenAI) solutions on Databricks, including RAG architectures and fine-tuning.
• Work with PySpark, Python, and SQL for data processing, analysis, and model development.
• Implement continuous integration/continuous deployment (CI/CD) pipelines for ML solutions using Azure DevOps or similar tools.
• Monitor and troubleshoot deployed models, ensuring data quality, model performance, and detecting drift.
• Stay current with the latest advancements in AI/ML, cloud technologies (Azure), and Databricks features.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Min 2+ years of hands-on experience in AI/ML engineering, with a strong focus on MLOps and cloud-based deployments.
• Proven expertise with Azure Databricks and its ecosystem (Delta Lake, MLflow, Unity Catalog).
• Proficiency in Python (including PySpark) and SQL.
• Experience with Azure Machine Learning services.
• Strong understanding of machine learning algorithms, deep learning concepts, and statistical analysis.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for ML applications.
• Experience with building and deploying Generative AI/LLM solutions is highly desirable.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications:

• Azure AI Engineer Associate certification or Databricks Certified Machine Learning Professional.
• Experience with other Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Event Hubs).
• Knowledge of data governance principles and tools.
• Experience in an Agile development environment.

All candidates should have full working rights in Australia.

Only shortlisted candidates will be contacted for this role.

To apply, please submit your resume ASAP for immediate consideration or email [email protected]