Databricks
Databricks
Databricks उन संगठनों के लिए एकीकृत डेटा और AI प्लेटफ़ॉर्म विकसित करता है जिन्हें बड़े पैमाने पर डेटा प्रबंधित करना, मशीन लर्निंग सिस्टम बनाना और विश्लेषणों को उत्पादन अनुप्रयोगों में बदलना होता है। इसकी तकनीक डेटा इंजीनियरिंग, Apache Spark प्रोसेसिंग, एनालिटिक्स और मशीन लर्निंग संचालन को एक साथ लाती है, जिससे तकनीकी टीमें प्रोसेसिंग और प्रयोग से लेकर परिनियोजन तथा अंतर्दृष्टि निर्माण तक पूरे डेटा जीवनचक्र में काम कर पाती हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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