Senior Machine Learning Engineer (f/m/d)

at  BMG RIGHTS MANAGEMENT GmbH Corporate

Founded in 2008, BMG has become the fourth-largest music publisher worldwide. Our success and competitive edge are rooted in our founding values of fairness, transparency, and service. Our mission is clear: to empower artists and songwriters to maximize the potential of their songs and recordings in the digital era.

• Implement and Deploy ML Models: Implement, and deploy machine learning models, utilizing a variety of modeling approaches to address differentdiffernent business problems
• Advanced ML Techniques: Implement systems with Generative AI (GenAI) and emerging architectures like Retrieval-Augmented Generation (RAG)
• Scalable Training Solutions: Scale training processes across multiple GPUs, leveraging state-of-the-art frameworks such as NVIDIA’s cuDNN and TensorRT
• Support AI and ML Pipelines: Assist various teams in deploying AI and ML pipelines on Google Cloud using Vertex AI, ensuring robust and scalable solutions
• Automated ML Pipelines: Design and implement automated machine learning pipelines, including fully automated training and prediction processes
• MLOps Best Practices: Apply MLOps best practices for model deployment, monitoring, and automation, enhancing the efficiency and reliability of ML operations
• Containerization: Work with containerization technologies to streamline the deployment and management of ML models
• Infrastructure-as-Code: Implement infrastructure-as-code using Terraform to ensure reproducible and scalable ML environments
• Innovation and Problem-Solving: Apply strong problem-solving skills and creative thinking to champion the adoption of AI technologies that address business needs
• Collaboration and Communication: Collaborate effectively with cross-functional teams, demonstrating excellent communication and teamwork skills in a fast-paced environment