At Hornetsecurity by Proofpoint, you will find an environment where innovation comes from creative collaboration and where everyone is empowered to move quickly and have fun.
If you enjoy taking the "im" out of impossible, you will feel right at home with our team!
As an AI Engineer, you will be part of a high-caliber Engineering team focused on designing, building, and supporting AI-driven solutions to classify digital communications for regulated industries. You will collaborate closely with Product Management and fellow engineers to deliver scalable, effective AI solutions. This role is hands-on and execution-focused, contributing directly to model development, experimentation, and production deployment.

• Contribute to the development and deployment of transformer-based modelsfor classificationtasks,leveragingpre-trained models, fine-tuning techniques, and embedding-based retrieval.
• Evaluate generalized/base models for low true-positive classification problems andhelp improvemodel performance.
• Implement prompt-based classification techniques and vector-basedretrieval approachesto enhance accuracy and efficiency.
• Design and execute experiments to measure model efficacy, balancing performancewith computationalcost.
• Collaborate with cross-functional teams to translate product requirements intopractical AI/ML solutions.
• Support build vs.buyevaluations by researching and testing available AI/ML technologies.
• Help ensure AI solutions are scalable, secure, and aligned with enterprise best practices.
• Stay current with advancements in transformers, LLMs, and AI-driven text classification, applying relevant innovations whereappropriate.

• 2+ years of experience in software engineering, with experience in AI/ML-focused projects.
• 1+ years of hands-on experience working with transformer models or NLP.
• Experience with one or more AI/ML frameworks such as TensorFlow,PyTorch, or Hugging Face Transformers.
• Practical experience applying transformer models to text classification problems.
• Familiarity with prompt engineering, vector-based retrieval, and embedding models.
• Understanding of AI cost considerations, including model inference costs andoptimization techniques.
• Experience contributing to experiments to evaluate and improve model performance.
• Background in cloud environments, containers, Java, and Linux-based architectures.
• Familiarity with Agile/Scrum development processes.
• Strong problem-solving skills and the ability to communicate effectively within ateam environment.
• Degree in Computer Science, AI/ML, or a related field

• Free space for innovation and independent action in a fast-growing international cybersecurity company.
• Short decision paths and flat hierarchies in an open work atmosphere.
• Personal and professional development opportunities.
• Extensive Onboarding - we equip you with a welcome kit, 2 days Onboarding
• Bootcamp, MentoringProgramand regular feedback meetings.
• Hybrid setting and flexible working time.