CSQ426R250 While candidates in Sydney are encouraged for this role, candidates in Melbourne, Brisbane and Perth will be considered. As a Machine Learning / GenAI Resident Solutions Architect (RSA) in our Professional Services team you will work with clients on short to medium term customer engagements on their ML & AI challenges using the Databricks Data Intelligent platform. You will provide data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. The impact you will have: 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. You will 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 What we look for: Experience in the following preferably in a customer-facing post-sales, technical architecture of consulting role: ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) 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 Nice to have: Databricks Certification
