Senior ML Ops Engineer

Join a mission-driven global organization as a Senior ML Ops Engineer, bridging Data Science and Engineering to build secure, reliable, and scalable AI-based features for Elsevier's Health platforms. You will work on cutting-edge GenAI, search, and knowledge graph retrieval systems, ensuring content rights and confidentiality.

• Automate and orchestrate machine learning workflows across major cloud and AI platforms
• Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment
• Implement ML Engineering solutions using MLOps platforms like AWS SageMaker and Azure ML
• Design and implement GAR+RAG systems and manage prompt libraries and guardrails for LLMs
• Build evaluation pipelines for offline IR metrics, LLM quality, and A/B testing
• Optimize infrastructure costs through monitoring, scaling, and efficient resource utilization