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 and deploy production-grade AI systems for autonomous cyber defense and enterprise security optimization, focusing on agentic AI and decision engines.
Build AI systems that reduce manual effort, optimize workflows, score risk in real-time, and enable safe autonomous enforcement across security platforms.
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
Build evaluation metrics for model performance
Translate operational problems to AI solutions
Nice-to-have
Multi-agent orchestration systems
Microsoft Defender XDR, Sentinel, KQL
Microsoft Copilot Studio or similar
Graph-based reasoning or ontology-driven AI
Key Requirements
3-6+ years of hands-on AI/ML engineering experience