Machine Learning Architect

3 days ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $140,000 - $185,000
Job Title: Machine Learning Architect

 

Are you an expert in machine learning with a passion for designing and developing scalable architectures? We are seeking a highly skilled Machine Learning Architect to join our team.

 

Job Description:

We are looking for a talented individual to lead the development of machine learning pipelines and architectures on Azure Databricks. As a Machine Learning Architect, you will be responsible for designing, developing, and maintaining robust machine learning solutions that meet the needs of our business.

 

Key Responsibilities:

  • Design and develop scalable 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.
  • Utilize Azure Machine Learning services for model management, experimentation, and MLOps best practices.
  • Develop and deploy Large Language Models and Generative AI solutions on Databricks.
  • Work with PySpark, Python, and SQL for data processing, analysis, and model development.
  • Implement CI/CD pipelines for ML solutions using Azure DevOps or similar tools.
  • Monitor and troubleshoot deployed models, ensuring data quality and model performance.

 

Requirements:

To be successful in this role, you will need:

  • A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • Minimum 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.
  • 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 and orchestration for ML applications.

 

Benefits:

As a Machine Learning Architect, you will have the opportunity to work with cutting-edge technology and collaborate with a talented team of professionals. You will also have access to ongoing training and professional development opportunities to help you grow in your career.

 

How to Apply:

If you are a motivated and experienced Machine Learning Architect looking for a new challenge, please submit your application. We look forward to hearing from you

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