Chief Machine Learning Architect

7 days ago

Melbourne, Victoria, Australia beBeeMachineLearning Full time $120,000 - $200,000
Job Description\

We are seeking an experienced Solutions Architect to join our team. As a key member of our Professional Services team, you will work closely with clients on short to medium-term customer engagements related to machine learning and Generative AI challenges using the Databricks Data Intelligence Platform.

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As a Resident Solutions Architect, you will provide data science and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. You will be responsible for building solution architecture, MLOPs frameworks, MVPs, and production-grade applications that meet the needs of our clients.

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Key Responsibilities

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  • Design and implement 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 AI applications.
  • Consult on ML architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation, and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • Work 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.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.
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Qualifications

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  • Experience in machine learning engineering, data science, or a related field, preferably in a customer-facing post-sales, technical architecture, or 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 HuggingFace, Langchain, and OpenAI.
  • Comfortable writing code in 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 that support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20-30% of the time.
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Nice to Have

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  • Databricks Certification.

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