The Machine Learning (ML) Practice team is a highlyspecialized customer-facing ML team at Databricks facing anincreasing demand for Large Language Model (LLM)-based solutions.We deliver professional services engagements to help our customersbuild, scale, and optimize ML pipelines, as well as put thosepipelines into production. We work cross-functionally to shapelong-term strategic priorities and initiatives alongsideengineering, product, and developer relations, as well as supportinternal subject matter expert (SME) teams. We view our team as anensemble: we look for individuals with strong, uniquespecializations to improve the overall strength of the team. Thisteam is the right fit for you if you love working with customers,teammates, and fueling your curiosity for the latest trends inLLMs, MLOps, and ML more broadly. The impact you will have: -Develop LLM solutions on customer data such as RAG architectures onenterprise knowledge repos, querying structured data with naturallanguage, and content generation - Build, scale, and optimizecustomer data science workloads and apply best in class MLOps toproductionize these workloads across a variety of domains - Advisedata teams on various data science such as architecture, tooling,and best practices - Present at conferences such as Data+AI Summit- Provide technical mentorship to the larger ML SME community inDatabricks - Collaborate cross-functionally with the product andengineering teams to define priorities and influence the productroadmap What we look for: - Experience building Generative AIapplications, including RAG, agents, text2sql, fine-tuning, anddeploying LLMs, with tools such as HuggingFace, Langchain, andOpenAI - Extensive hands-on industry data science experience,leveraging typical machine learning and data science toolsincluding pandas, scikit-learn, and TensorFlow/PyTorch - Experiencebuilding production-grade machine learning deployments on AWS,Azure, or GCP - Experience communicating and/or teaching technicalconcepts to non-technical and technical audiences alike - Passionfor collaboration, life-long learning, and driving business valuethrough ML - [Preferred] Experience working with Databricks &Apache Spark to process large-scale distributed datasets AboutDatabricks Databricks is the data and AI company. More than 10,000organizations worldwide — including Comcast, Condé Nast, Grammarly,and over 50% of the Fortune 500 — rely on the Databricks DataIntelligence Platform to unify and democratize data, analytics andAI. Databricks is headquartered in San Francisco, with officesaround the globe and was founded by the original creators ofLakehouse, Apache Spark, Delta Lake and MLflow. To learn more,follow Databricks on Twitter ,LinkedIn and Facebook . Benefits AtDatabricks, we strive to provide comprehensive benefits and perksthat meet the needs of all of our employees. For specific detailson the benefits offered in your region, pleasevisithttps://www.mybenefitsnow.com/databricks . Our Commitment toDiversity and Inclusion At Databricks, we are committed tofostering a diverse and inclusive culture where everyone can excel.We take great care to ensure that our hiring practices areinclusive and meet equal employment opportunity standards.Individuals looking for employment at Databricks are consideredwithout regard to age, color, disability, ethnicity, family ormarital status, gender identity or expression, language, nationalorigin, physical and mental ability, political affiliation, race,religion, sexual orientation, socio-economic status, veteranstatus, and other protected characteristics. Compliance If accessto export-controlled technology or source code is required forperformance of job duties, it is within Employer's discretionwhether to apply for a U.S. government license for such positions,and Employer may decline to proceed with an applicant on this basisalone. #J-18808-Ljbffr
:quality(80))
:quality(80))
:quality(80))