3 senior integration engineer jobs found

Merck Job Description Role Summary The Director, Cyber AI Engineering is a senior technical leader responsible for architecting and delivering production-grade AI systems that power autonomous cyber defense and enterprise security automation. Reporting to the Director of Cyber AI & Automation, this role leads the design and implementation of scalable AI decision engines, behavioral analytics systems, and agent-based automation integrated directly into enterprise security platforms. This is a hands-on technical leadership role. The Director will design systems, guide engineering execution, and ensure AI capabilities are production-ready, governed, and safely integrated into enforcement workflows. Core Responsibilities AI Systems Architecture Design scalable AI architectures capable of ingesting and reasoning over high-volume enterprise telemetry. Lead engineering of behavioral analytics, anomaly detection, and risk scoring models. Define...

Biogen About This Role Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them. In the Quantitative Sciences Development Organization we aspire to transform patients' lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment. We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care. What You'll Do As a Machine Learning Engineer, Operations and Health Systems Research, you will: Design, develop, and implement complex end-to-end data pipelines, engineer features and disease models to...

Biogen About This Role Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them. In the Quantitative Sciences Development Organization we aspire to transform patients' lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment. We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care. What You'll Do As a Machine Learning Engineer, Operations and Health Systems Research, you will: Design, develop, and implement complex end-to-end data pipelines, engineer features and disease models to...