ML Engineer for Cybersecurity Solutions

Transform cybersecurity landscapes as an ML Engineer focused on applied AI. This hybrid role emphasizes model development and infrastructure management to bolster digital defenses. You will be pivotal in deploying AI-based systems that protect users and organizations worldwide.

With a strong foundation in machine learning, your role involves architecting sophisticated AI workflows, optimizing models, and creating comprehensive pipelines for production deployment. Collaborate with cross-functional teams to enhance threat detection capabilities effectively. Key Responsibilities:

• Design advanced AI agent architectures
• Implement orchestrated multi-agent systems for analysis
• Optimize large and small language models
• Maintain and manage ML pipeline lifecycles
• Develop evaluation frameworks for model performance Requirements:
• 2+ years experience in ML Engineering or Generative AI
• Proficiency in Python, PyTorch, or TensorFlow
• Experience in developing LLM applications
• Ability in software engineering and version control
• Knowledge of statistical analysis and optimization methods Drive innovative solutions in cybersecurity through your expertise in AI and machine learning, enhancing security measures and outcomes.