Machine Learning Engineer (f/m/d) AI Automation (LLMs) at BMG RIGHTS MANAGEMENT GmbH Corporate
10117 Berlin, Mitte, Germany -
Full Time


Start Date

Immediate

Expiry Date

13 Jul, 25

Salary

0.0

Posted On

13 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

Description

Founded in 2008, BMG reimagined the relationship between music companies, songwriters, and artists by offering fairer contracts, greater creative freedom, and unparalleled transparency in royalties and licensing. Now the fourth-largest music company in the world, BMG combines human creativity with cutting-edge technology to connect music with global audiences.
We are looking for a ML-Engineer (f/m/d) to join our team and play a key role in developing AI-driven automation solutions that enhance efficiency and deliver high-performance results. As part of a dynamic and dedicated team of software and ML engineers, you will be responsible for designing, coding, and optimizing AI cloud-based services leveraging neural networks and LLMs into automation processes as well as taking part of the growing development of AI in BMG and the music industry.
If you’re passionate about AI, LLMs, cloud-based services, and automation, and you want to contribute to the development of game-changing solutions, we would love to hear from you!

Responsibilities
  • Design and develop scalable AI-driven automation solutions, ensuring they meet both current and future business needs
  • Collaborate closely with product managers, engineers, and data science teams to integrate AI models seamlessly into automation workflows
  • Ensure the creation of high-performance, robust, and maintainable software, adhering to best practices for software engineering and AI system design
  • Troubleshoot and optimize AI-powered automation systems, improving efficiency, accuracy, and reliability
  • Conduct thorough testing and validation of AI models and automation solutions to ensure they meet quality standards and perform consistently under various conditions
  • Stay up-to-date with the latest advancements in AI, LLMs and automation technologies, integrating cutting-edge solutions to enhance system capabilities and drive innovation
  • Implement and challenge state-of-the-art neural networks and transformers through various research and development projects to rigorously evaluate their performance and deploy impactful AI solutions that transform the music industry
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