AI Data Science Specialist

15 hours ago

Sydney, New South Wales, Australia beBeeMachine Full time $180,000 - $220,000

As a Machine Learning Engineer, you will have the opportunity to work with cutting-edge technologies and collaborate with other talented professionals in the field. This role is perfect for someone who wants to take their career in data science and machine learning to the next level.

Job Description

The successful candidate will be responsible for designing and developing machine learning models, implementing data pipelines, and deploying cloud services. You will also have the opportunity to work on various projects and contribute to thought leadership activities within the organization.

  1. Selecting the best technology for a given data science use case
  2. Choosing the best operational architecture for a ML application
  3. Developing ML applications
  4. Applying MLOps principles to data science workflows, e.g. building reproducible training pipelines
  5. Standing up cloud services to run ML workloads
  6. Automating repeatable routines in ML workflows
  7. Providing consulting services that combine architectural vision with hands-on technical experience using some of the latest AI/ML tools and methods
  8. Supporting pre-sales activities including conversations, presentations and writing proposals
  9. Contributing to thought leadership activities, including blog and brown-bag content, for Mantel Group and the wider AI/ML community
Required Skills and Qualifications
  • 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
Benefits
  • Opportunity to work with cutting-edge technologies
  • Collaboration with other talented professionals in the field
  • Opportunity to contribute to thought leadership activities
  • Flexible hybrid approach to working
  • Supportive organisation that cares about not only you but your family as well
Others

At our organisation, we believe in supporting our team members to take their career in a direction that aligns with their passions. We offer internal opportunities across Cloud, Data, Security and Digital. Our My Deal program allows you to tailor your yearly plan, with the support of your Leader, to decide on what's most important to you. That might be extra professional development, extra annual or parental leave, time to work on your side hustle, or something else completely different One size does not fit all.

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