Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Design, build, and deploy production-grade AI systems for autonomous cyber defense and enterprise security optimization, focusing on agentic AI and decision engines.
Contribute to platform-level enforcement, measurable efficiency gains, and enable explainable AI outputs suitable for governance and executive review.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Skills & Requirements
Must-have
Python and modern ML frameworks
Deploy production AI systems
LLM-based systems and prompt engineering
Supervised and unsupervised learning
Model evaluation metrics
Translate operational problems to AI solutions
Nice-to-have
Multi-agent orchestration systems
Microsoft Defender XDR, Sentinel, KQL
Microsoft Copilot Studio
MITRE ATT&CK mapping
AI governance and drift monitoring
Key Requirements
3-6+ years AI/ML engineering experience
Experience deploying integrated enterprise AI systems