Machine Learning Engineer AI Automation (LLMs)

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Machine Learning Engineer AI Automation (LLMs)

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BMG

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 contributing to 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!

What you’ll be doing

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

What you bring

5+ years of experience in ML, software engineering, or automation, with a proven ability to develop and deploy AI-driven solutions

Bachelor's or master's degree in computer science, Engineering, or a related field, with a solid foundation in software development, AI technologies, and ML

Proficiency in programming languages such as Python, Java, or other relevant languages commonly used in AI and automation development

Hands-on experience with APIs implementation and integrating ML models into production environments

Hands-on experience with ML models (DNN, DT, Transformers, LLMs) implementation, training/fine-tuning, and evaluation in an R&D context

Scientific publications and experience conducting scientific research is a plus

Strong problem-solving abilities and a demonstrated capacity to collaborate effectively in agile teams, adapting to changing requirements and priorities

Experience with cloud platforms and deployment (e.g., AWS, Azure, Google Cloud) is a plus, enabling efficient scaling of AI solutions

Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders

What we offer

A modern office in Berlin with flexible remote work options

Benefits such as a free BVG job ticket, Urban Sports membership discounts, company bike leasing, and employee discounts

Ongoing training through BMG Campus and Bertelsmann University

Long-term career opportunities

A collaborative environment with a passionate community of artists and songwriters

A culture based on strong values and mutual support

About us BMG, with 20 offices across 13 key markets, manages over three million songs and recordings, including iconic catalogs from artists like The Rolling Stones, Tina Turner, and more. Owned by Bertelsmann, BMG is committed to diversity and inclusion, providing equal opportunities for all applicants.

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