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Warner Music

Global music label, publishing, artist services

Forward Deployed Engineer - Data & AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 3 years of software engineering experience.
  • Experience working with customers or business stakeholders.
  • Experience with Python.
  • Experience with data pipelining, such as extract, transform, and load processes.
  • Experience with Snowflake or Databricks; one is sufficient.
  • Ability to work across backend, frontend, data pipelines, AI tools, Python, and React.
  • Ability to use AI tools to design, build, and deploy production solutions.
  • Ability to rapidly understand problem spaces and develop solutions without curated requirements.
  • Ability to communicate in non-technical language with stakeholders from entry-level to executive level.
  • Ability to manage expectations and keep customers up to date.
  • Ability to contribute to standards and use existing tools and systems in alignment with the Data and Insights engineering roadmap.
  • Ability to adapt across varied problems and domains.
  • Ability to use AI to improve manual workflows and deliver customer value quickly.

Responsibilities

  • Partner with business stakeholders across labels and global functions to deliver rapid solutions using data and artificial intelligence.
  • Build and deploy automation and solutions for diverse business problems.
  • Develop full-stack solutions, including data pipelining and interoperability, backend development in Python, dashboards, and Streamlit applications.
  • Use Databricks and Snowflake artificial intelligence tools, including Genie and Cortex, to create solutions.
  • Work with non-technical customers to identify pain points and turn time-consuming tasks into efficient workflows.
  • Rapidly understand stakeholder problems and deliver impactful solutions with limited context.
  • Communicate solution status and manage expectations with stakeholders.
  • Explore technologies and flex across multiple problems and business domains.
  • Contribute to engineering standards and leverage existing tools and systems.

Desired Qualifications

  • Exposure to customers.
  • Experience with Snowflake and/or Databricks.
  • Experience using Genie Code or Cortex Code.
  • Experience with notebooks and Streamlit to deliver solutions.
  • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code.

About the Company

Warner Music

Global music label, publishing, artist services

Warner Music Group operates in three areas—recorded music, music publishing, and artist services—signing and developing artists, producing and distributing recordings, and managing publishing rights. It earns revenue from music sales, streaming, licensing deals, and live performances. Its global scale, iconic labels, and diverse brands help it promote music worldwide and support artists, songwriters, and fans. Its goal is long-term creative and commercial success while staying adaptable and upholding ethical and environmental standards.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1958

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