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Staff Data Scientist, GenAI
Staff Data Scientist, GenAI
The Staff Data Scientist, GenAI will develop and deploy cutting-edge GenAI solutions for business problems, owning production rollouts of both consumer and internal applications. This role involves collaborating with product and engineering teams to shape the product roadmap and requires expertise in GenAI application development, deployment, and optimization, along with strong data science and machine learning experience.
About the role
Responsibilities:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems.
- Own production rollouts of consumer and internally facing GenAI applications.
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Requirements:
- Experience in 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 in building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience. Passion for collaboration, lifelong learning, and driving business value through AI.
- [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
- We require fluency in English and willingness to work across time zones.
Skills
GenaiRagmulti agent systemsText2SQLfine tuningHuggingFaceLangchainDSPyevaluationoptimizationsData scienceMachine LearningPandasscikit learnPyTorchAWSAzureGCPComputer ScienceDatabricks Intelligence PlatformApache SparkEnglish