Job
In this role, you will develop innovative GenAI solutions and oversee application rollouts while collaborating closely with product and engineering teams and advising customers on-site.
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Job technologies
Your role in the team
- 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.
Our expectations of you
Education
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
Qualifications
- Expertise in deploying production-grade GenAI applications, including evaluation and optimization.
- Passion for collaboration, lifelong learning, and driving business value through AI.
- Willing to travel once every 4–8 weeks to meet with customers (as needed).
Experience
- Minimum 4 years of experience.
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as Hugging Face, LangChain, and DSPy.
- Extensive hands-on industry experience in data science, using widely adopted machine learning and data science tools such as pandas, scikit-learn, and PyTorch.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Experience communicating and/or teaching technical concepts to both non-technical and technical audiences.
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks has its origins in academia and the open-source community. As the world's first and only lakehouse platform in the cloud, Databricks combines the strengths of data warehouses and data lakes, providing an open and unified platform for data and AI.
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
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