Job Description
Job description
CSQ126R113
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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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 https://www.mybenefitsnow.com/databricks.
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. 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, ****** 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.
CSQ126R113
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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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 https://www.mybenefitsnow.com/databricks.
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. 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, ****** 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.
💡 Quick Summary
Seeking a career-building opportunity? The Resident Solutions Architect, Machine Learning position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Sydney offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.