Sr. Resident Solutions Architect, ML

Sr. Resident Solutions Architect, ML & GenAI As a Machine Learning / GenAI Resident Solutions Architect (RSA) in our Professional Services team you will work with clients on short to medium term 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 get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service.
Responsibilities 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 lead 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 % 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 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Note: This posting contains references to locations and regional specifics. If the candidate is located outside the preferred region, relocation or remote-eligible arrangements may apply.
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