Senior AI Engineer

Key Responsibilities

Be Technical:

• Design and implement AI pipelines for automating royalty calculation and relation processes etc.
• Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning.
• Develop and maintain retrieval systems that operate efficiently at scale
• Explore frontier software engineering in AI/ML for media, and related opportunities for UMG.
• Build on state-of-the-art cloud infrastructure

• Collaborate with the team and stakeholders to deliver, operate and maintain products.
• Be part of an innovative and dynamic team

• Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field.
• 5+ years of hands-on professional experience in software/ML engineering
• Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully.
• Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models.
• Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc.
• Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods.
• Familiarity with media content (video, audio) ML pipelines.
• Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker)
• Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).
• Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform)
• Ability to write clean, efficient, well documented, and reusable code
• Good communication skills, both oral and written
• Curious, self-motivated, and proactive.

• Experience training and/or fine-tuning AI models
• Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks)
• Competency in at least one other programming language (e.g. C/C++, Java)
• Experience going from POC to production-grade system