Resident Solutions Architect, Machine Learning

Job description
Resident Solutions Architect, Machine Learning
This is a critical role with one of the leading companies in Australia right now - Databricks - with an exceptional team that continues to grow rapidly.

More About the Role at Databricks

As a Machine Learning Resident Solutions Architect (RSA) in our Professional Services team you will work closely with clients on short to medium term customer engagements addressing their ML & AI challenges using the Databricks Data Intelligent platform. You will provide data science and cloud technology projects integrating with client systems, training, and other technical tasks to help customers derive maximum value from their data. RSAs are billable and capable of completing 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 at least one of 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
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