Databricks
Databricks
Databricks dezvoltă o platformă unificată pentru date și inteligență artificială, destinată organizațiilor care au nevoie să gestioneze volume mari de date, să creeze sisteme de învățare automată și să transforme analizele în aplicații pregătite pentru producție. Tehnologia sa reunește ingineria datelor, procesarea Apache Spark, analiza datelor și operațiunile de învățare automată, ajutând echipele tehnice să lucreze pe întregul ciclu de viață al datelor, de la procesare și experimentare până la implementare și generarea de informații utile.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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