AI Engineer – Forward Deployed Engineer

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

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.

📋 Description

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems • Own production rollouts of consumer and internally facing GenAI applications • Serve as a trusted technical advisor to customers across a variety of domains • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

🎯 Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike • Passion for collaboration, life-long learning, and driving business value through AI • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets • Willing to travel once every 4-8 weeks to see customers (as needed)

🏖️ Benefits

• Comprehensive benefits and perks that meet the needs of all of our employees.