Lead Machine Learning Engineer Driving AI in Music Operations

Elevate your career as a Machine Learning Engineer targeting the music industry's evolving AI landscape. Work in a hybrid environment to create and maintain ML systems that drive automation and predictive analytics.

This role focuses on developing cutting-edge ML models tackling critical industry challenges. You'll collaborate with engineering, analytics, and product teams for successful execution of projects aimed at revenue enhancement. Your contributions will strengthen strategic AI initiatives and ensure efficient workflows.

Key Responsibilities:

• Build and optimize ML models for music applications
• Partner with Analytics to identify key predictive features
• Oversee ML project lifecycle from training to deployment
• Use MLOps tools for model performance monitoring
• Design modular AI systems to streamline operations

Requirements

• 4+ years of software engineering experience in ML
• Strong Python and machine learning library skills
• Experience with cloud-based model deployment
• Deep understanding of ML techniques and their applications
• Strong communication abilities for technical discussions

Drive the future of music with innovative AI solutions that improve analysis and operational efficiency.

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