Job Url: https://www.remoterocketship.com/company/databricks/jobs/ai-engineer-%E2%80%93-forward-deployed-engineer-united-states-remote Job Description: Databricks Website LinkedIn All Job Openings Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations. Apache Spark β€’ Apache Spark Training β€’ Cloud Computing β€’ Big Data β€’ Data Science 1001 - 5000 employees Founded 2013 πŸ€– Artificial Intelligence 🏒 Enterprise ☁️ SaaS πŸ’° $1.6G Series H on 2021-08 AI Engineer – Forward Deployed Engineer September 4 πŸ„ California – Remote πŸ’΅ $161.3k - $225.8k / year ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– AI Engineer πŸ¦… H1B Visa Sponsor Apache AWS Azure Google Cloud Platform Pandas PyTorch Scikit-Learn Spark Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Deliver professional services engagements to help customers build and productionize first-of-its-kind AI applications β€’ Develop cutting-edge GenAI solutions, incorporating Mosaic AI Research techniques to solve customer problems β€’ Own production rollouts of consumer and internally facing GenAI applications β€’ Serve as a trusted technical advisor to customers across a variety of domains β€’ Present at conferences such as Data + AI Summit and represent the company as a thought leader β€’ Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap β€’ Work with internal subject matter expert teams and developer relations to support customer outcomes 🎯 Requirements β€’ Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy β€’ Expertise in deploying production-grade GenAI applications, including evaluation and optimizations β€’ Extensive hands-on industry data science experience leveraging tools like pandas, scikit-learn, PyTorch β€’ Experience building production-grade machine learning deployments on AWS, Azure, or GCP β€’ Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience β€’ Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike β€’ Passion for collaboration, life-long learning, and driving business value through AI β€’ [Preferred] Experience using the Databricks Intelligence Platform and Apache Sparkβ„’ to process large-scale distributed datasets πŸ–οΈ Benefits β€’ Eligibility for annual performance bonus β€’ Equity β€’ Comprehensive benefits and perks (see https://www.mybenefitsnow.com/databricks) β€’ Remote work option (role can be remote)