Machine Learning Engineer, AI Studio

Role: Machine Learning Engineer within Amgen’s AI & Data Science organization, responsible for developing and supporting enterprise AI components to address high-value business challenges. Core duties include designing, implementing, and maintaining scalable AI, NLP, RAG, and knowledge-based models, with a focus on reliability, security, and ethical AI practices. Responsibilities span from early-stage prototyping to production deployment, supporting workflows, pipelines, and model evaluation. Qualifications: Master’s degree or equivalent experience in computer science, with expertise in Python, SQL, cloud services (AWS, Azure, or similar), and MLOps tools. Preferred skills include advanced ML/deep learning (PyTorch, TensorFlow), GenAI, RAG, knowledge graphs, and experience with regulated environments such as healthcare or life sciences. The role requires strong collaboration with cross-disciplinary teams, problem-solving skills, and the ability to lead technical initiatives. High-value specifics: focus on AI/ML system design, Generative AI, knowledge management, cloud-native systems, and regulated enterprise delivery. Work setup: details not specified; likely hybrid or flexible based on organizational practices.