Databricks
Databricks
Databricks ауқымды деректерді басқаруы, машиналық оқыту жүйелерін құруы және талдау нәтижелерін өндірістік қолданбаларға айналдыруы қажет ұйымдарға арналған бірыңғай деректер және жасанды интеллект платформасын әзірлейді. Оның технологиясы деректер инженериясын, Apache Spark өңдеу жүйесін, талдауды және машиналық оқыту операцияларын біріктіріп, техникалық командаларға өңдеу мен тәжірибе жасаудан бастап енгізу және инсайттар қалыптастыруға дейінгі деректердің бүкіл өмірлік циклімен жұмыс істеуге көмектеседі.

Senior AI Engineer, Forward Deployed (India, Remote)

Build and launch production GenAI applications for Databricks customers. Advise teams on AI solutions and help shape product roadmaps through professional services.

Сипаттама

  • Build GenAI solutions informed by Databricks research to address customer needs.
  • Lead production launches of GenAI applications for both external users and internal teams.
  • Advise customers across a range of domains on technical decisions.
  • Present at events such as the Data + AI Summit.
  • Work with product and engineering teams to influence priorities and product direction.
  • Contribute to internal expert teams and strategic initiatives.

Талаптар

  • Hands-on experience developing GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, with tools such as Hugging Face, LangChain, or DSPy.
  • Expertise deploying production-ready GenAI applications, including evaluation and optimization.
  • Substantial industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
  • Experience deploying production machine learning systems on AWS, Azure, or Google Cloud Platform.
  • A graduate degree in a quantitative field such as computer science, engineering, statistics, or operations research, or equivalent practical experience.
  • Experience explaining or teaching technical concepts to both technical and non-technical audiences.
  • Willingness to travel to meet customers as needed, approximately once every four to eight weeks.

Артықшылықтар

  • Benefits and perks are comprehensive; details vary by region and are provided in Databricks’ regional benefits document.
  • Remote work arrangement.
  • Opportunities to present at events such as the Data + AI Summit.
  • Opportunities to build recognition as a thought leader inside and outside the company.
  • Collaboration with product and engineering teams, with opportunities to influence priorities and product direction.

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