Resident Solutions Architect, Machine Learning

Job Description

CSQ126R107 While candidates in the listed location(s) are encouraged for this role, candidates in other parts of Australia will be considered. As a Machine Learning 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 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. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Compliance: If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr