Unlock Your Potential as a Machine Learning Expert

2 days ago


Sydney, New South Wales, Australia beBeeExpertise Full time $100,000 - $150,000
Unlock Your Potential as a Machine Learning Expert

Embark on a thrilling career journey as a Machine Learning Engineer, where you will have the opportunity to design and develop innovative solutions that drive business growth.


Key Responsibilities:
  • Selecting the best technology for a given data science use case
  • Choosing the optimal operational architecture for a machine learning application
  • Developing cutting-edge machine learning applications
  • Applying MLOps principles to data science workflows, e.g. building reproducible training pipelines
  • Standing up cloud services to run machine learning workloads
  • Automating repeatable routines in machine learning workflows
  • Providing expert consulting services that combine architectural vision with hands-on technical experience using some of the latest AI/ML tools and methods
  • Supporting pre-sales activities including conversations, presentations and writing proposals
  • Contributing to thought leadership activities, including blog and brown-bag content, for the wider AI/ML community

Requirements:
  • Commercial software development experience across different industries and organisations
  • Commercial experience of machine learning application development
  • Production experience in at least one cloud stack
  • Consulting experience, either with external clients or internally within an organisation
  • Fundamental modern software engineering skills (can design and implement a well-structured code base and software development cycle, including CI/CD, TDD, monitoring/logging)
  • Solid programming skills in at least one applicable language, such as Python
  • Cloud engineering skills to architect, use and deploy cloud services in at least one cloud stack
  • An understanding of key machine learning and data science concepts across different areas
  • Good grasp of concepts in machine learning development cycle & MLOps, such as model development, model deployment, data versioning etc.
  • Evidence of ML project delivery or self-learning that can be demonstrated
  • Exposure to one or more ML technologies and/or frameworks such as Amazon Sagemaker, Google AI Platform, Databricks / mlfow, AI API Services, and/or TensorFlow, Pytorch, Scikit-Learn etc, with demonstrable production experience
  • Ability to search and evaluate the best tool for a range of different technical problems

What You Can Expect From Us:
  • We support our team to take their career in a direction that aligns with their passions
  • You'll get all the tools you need to hit the ground running
  • Our flexible approach to working allows you to tailor your yearly plan to decide on what's most important to you
  • We offer Flexible Personal Leave options for those unplanned moments in life
  • We trust each other to 'make good choices' about the best workplace locations for the requirements of the project, role and client


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