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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.
Job Responsibility:
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
Requirements:
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
What we offer:
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