AI Engineer – North Macedonia

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Job description details

Intro

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.

Your Job

  • Contribute to the development and deployment of transformer-based models for classification tasks, leveraging pre-trained models, fine-tuning techniques, and embedding-based retrieval.
  • Evaluate generalized/base models for low true-positive classification problems and help improve model performance.
  • Implement prompt-based classification techniques and vector-based retrieval approaches to enhance accuracy and efficiency.
  • Design and execute experiments to measure model efficacy, balancing performance with computational cost.
  • Collaborate with cross-functional teams to translate product requirements into practical AI/ML solutions.
  • Support build vs. buy evaluations 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 where appropriate.

Your Profile

  • 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 and optimization 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 a team  environment.
  • Degree in Computer Science, AI/ML, or a related field

Your Benefits

  • 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, Mentoring Program and regular feedback meetings.
  • Hybrid setting and flexible working time.

Your application form

Julia Klein (Team Lead Recruiting) and our Recruiting Team are excited to get to know you!

Simply apply proactively and convince us of your abilities!

You can send your application to [email protected]. If you have any further questions, please do not hesitate to write us via WhatsApp on +49 511 515 464-99.


About Hornetsecurity

Hornetsecurity is a leading global provider of next-generation cloud-based security, compliance, backup, and security awareness solutions that help companies and organisations of all sizes around the world. Its flagship product, 365 Total Protection, is the most comprehensive cloud security solution for Microsoft 365 on the market. Driven by innovation and cybersecurity excellence, Hornetsecurity is building a safer digital future and sustainable security cultures with its award-winning portfolio. Hornetsecurity operates in more than 120 countries through its international distribution network of 12,000+ channel partners and MSPs. Its premium services are used by more than 125,000 customers.

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