Cloud-Based AI/ML Expert

3 days ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $180,000 - $220,000
Machine Learning Engineer Opportunity

Our organization seeks an experienced Machine Learning Engineer to lead the design, development, and maintenance of scalable machine learning pipelines and architectures.

The successful candidate will be responsible for implementing and optimizing ML workflows, including data ingestion, feature engineering, model training, evaluation, and deployment. Additionally, they will collaborate with Data Scientists to translate models into production-ready solutions, ensuring performance, scalability, and reliability.

  • We are looking for a skilled professional who can utilize Azure Machine Learning services for model management, experimentation, and MLOps best practices (e.g., MLflow).
  • Azure Databricks is used extensively in our organization, and we need someone who can develop and deploy Large Language Models (LLMs) and Generative AI (GenAI) solutions, including RAG architectures and fine-tuning.
  • Familiarity with PySpark, Python, and SQL for data processing, analysis, and model development is crucial.
  • The ideal candidate will also have experience with CI/CD pipelines for ML solutions using Azure DevOps or similar tools.
Key Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • A minimum of 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.

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