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    Role OverviewWe are seeking a Cloud Solutions Architect to work on impactful data science and machine learning use cases. As a key member of our team, you will collaborate with clients on short to medium term customer engagements using the Databricks Data Intelligence platform.The successful candidate will provide data science and cloud technology projects...

Cloud AI Solutions Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $180,000 - $200,000
Machine Learning Architect Role

We are seeking a highly skilled Machine Learning Architect to join our team. In this role, you will work with clients on short to medium term customer engagements on their ML & AI challenges using the Databricks Data Intelligent platform.

Key Responsibilities
  • Provide data science and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data.
  • Work on impactful data science and machine learning use cases including building solution architecture, MLOPs frameworks, MVPs and production-grade applications.
  • Guide strategic customers as they implement transformational data science and Generative AI projects, including end-to-end design, build and deployment of industry-leading and AI applications.
  • Consult on ML architecture and design; bootstrap or implement strategic customer projects which lead to a customer's successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
Required Skills and Qualifications
  • Technical Expertise: Experience in the following is preferred in a customer-facing post-sales, technical architecture of consulting role:
  • ML Engineer: Build and maintain production-grade cloud infrastructure that supports the deployment of ML applications.
  • Data Scientist: Experience with the latest techniques in machine learning and Generative AI processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as Hugging Face, Langchain, and Open AI.
  • Comfortable writing code in either Python or Scala.
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
Benefits

You will work closely with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer needs.

Others

This role offers an exciting opportunity to work with cutting-edge technologies and make a real impact on our customers' businesses.