Data Science Leader for Advanced Analytics Projects

2 weeks ago

Melbourne, Victoria, Australia beBeeMachine Full time $159,432 - $216,273

Job Title: Solutions Architect, ML & GenAI

About the Role: As a Solutions Architect for Machine Learning and Generative AI, you will be working with clients on short to medium term customer engagements.

  • You will 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.
  • 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.
  • You will guide strategic customers as they implement transformational data science and Generative AI projects.
Responsibilities:
  • Consult on ML architecture and design; bootstrap or implement strategic customer projects.
  • Provide escalated level of support for customer operational issues.
  • You will work with the 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.

Required Skills and Qualifications: Experience in 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.

Benefits: Travel to customers 20 - 30% of the time.

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