Minimum qualifications: Batchelor's degree or equivalent practical experience. 10 years of experience in software engineering and data science. Preferred qualifications: Experience leading the technical direction of machine learning or data science projects from inception to production. Experience developing, fine-tuning, and deploying generative AI and Large Language Models (LLMs) in enterprise environments. Experience designing and implementing evaluation frameworks to measure the safety, accuracy, and performance of AI models. Experience architecting machine learning infrastructure and data pipelines for autonomous or agent-based systems. Experience collaborating with cross-functional software engineering, product management, and UX teams to integrate AI models into user-facing products. Experience working with cybersecurity concepts, such as incident response, threat detection, SIEM, or SOAR workflows.
