AI Engineer

IdoubleS, a dynamic subsidiary of a German cybersecurity firm, specializes in pioneering software development and AI engineering. We are dedicated to crafting cutting-edge technologies that redefine the landscape of digital security and innovation. Our team of expert engineers and developers collaborates closely to design and deploy advanced solutions that meet the complex challenges of today's digital world. At IdoubleS, we pride ourselves on a culture of excellence, creativity, and continuous learning. Join us as we push the boundaries of what's possible in cybersecurity and technology development. We are looking for an experienced AI Engineer to join our team and help us develop cutting-edge solutions for the cyber security market. As an AI Engineer, you will be responsible for designing, implementing, testing and deploying machine learning models and pipelines. You will also collaborate with other engineers and managers to deliver high-quality features that meet the business needs and expectations. Your responsibilities

• Leverage proprietary LLM and RAG technology to build custom AI solutions.
• Collaborate with other engineers to design, implement, and document new LLM modeling techniques and strategies.
• Understand use case requirements to train and deploy custom LLM and RAG systems.
• Develop Back-end software to serve application requests, query databases, and format and deliver data in Python Frameworks (Flask).
• Build internal frameworks, libraries, and infrastructure to improve machine learning and LLM capabilities to allow for rapid prototyping and new product delivery.
• Review and adapt recent research in LLM and deep learning to build modeling approaches that are robust, reusable, and automatic across data sources and tasks.
• Identify state-of-the-art LLM technologies and implement best practices.
• Create and maintain LLM infrastructure documentation to enable other NLP engineers and data scientists to utilize the stack.

• Minimum 5 years of professional experience in development and deployment of machine learning LLM/NLP models.
• Completed Bachelor, Master, PhD or currently enrolled in PhD program in Artificial Intelligence, Computer Science, Information technology, or related field.
• Proven experience in LLM, NLP and RAG with AI frameworks (e.g. TensorFlow, Keras, PyTorch).
• Solid understanding of the benefits and drawbacks of different ML algorithms (incl. knowledge of deep learning models).
• Familiar with NLP disciplines: Text Classification, Named Entity Recognition, Relationship Extraction, Coreference Resolution.
• Extensive experience in implementing and executing data science initiatives, analysis, machine learning, and other statistical approaches.
• Expert knowledge in Software Development (Python - Flask).
• Familiar with AI Cloud technologies (e.g. AWS Sagemaker or Vertex AI).
• Very good knowledge in SQL and No-SQL databases.

• Flexible working time model (flex-time with core working hours, remote).
• Varied tasks and personal responsibility.
• Training opportunities.
• Individual career path.
• A technically excellent equipped workplace.

• Weekdays.
• Flexible time with core working hours.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Computer and Network Security