Senior Machine Learning Engineer - Applied AI

8+ years in software development with a strong mathematical or statistical background 3+ years proven track record building and deploying AI/ML solutions in live environments Expert-level Python programming abilities Shipped and maintained AI/ML systems, not just prototypes Demonstrated interest in cybersecurity and penetration testing Knowledge of AI frameworks and machine learning libraries (TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain) Experience with ML data preprocessing techniques Experience with cloud AI platforms (AWS Bedrock, AWS SageMaker, Azure AI) Strong analytical skills Comprehensive understanding of database technologies

Build AI systems for vulnerability discovery and penetration testing Research and implement AI-driven vulnerability detection and exploitation Automate exploitation workflows using AI Lead AI feature development lifecycles Design and implement AI-native application testing capabilities Research and target AI application attack vectors Implement scalable solutions using AI for traditional CVEs and credential-based attacks Guide technical conversations and assess code quality Share knowledge and mentor junior team members