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Transformative AI Leader

2 weeks ago

Melbourne, Victoria, Australia beBeeMachineLearning Full time $180,000 - $220,000

Job Role: Resident Solutions Architect, Machine Learning

Job Description:

As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their Machine Learning and AI challenges using the Databricks Data Intelligence platform.

  • You will work on impactful data science and machine learning use cases which may include 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 leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.

Key Responsibilities:

  • 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's 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.

Requirements:

  • Experience in the following preferably 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 HuggingFace, Langchain, and OpenAI.
  • 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.
  • Travel to customers 20 - 30% of the time.

What We Look For:

  • Candidates who are passionate about Machine Learning and want to contribute to cutting-edge technology.
  • Individuals who have experience in delivering complex technical projects and can demonstrate their expertise through case studies or portfolios.
  • Those who are comfortable working in a fast-paced environment and can adapt quickly to new technologies and methodologies.