AI Engineer - External Consultant (B2B)
New
A
AI2CYBERCybersecurity AI
Fully remote collaboration from anywhere in Greece.ContractMiddle
Salary not disclosed
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Job Details
- Languages
- Excellent English communication and technical writing skills.
- Required Skills
- DockerPythonCybersecurityMachine Learning
Requirements
- A Master’s or PhD degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
- Strong proficiency in Python and experience with widely used machine learning libraries and frameworks.
- Practical experience developing and implementing reinforcement learning algorithms.
- Experience with OpenAI Gym, Gymnasium, or similar reinforcement learning environments.
- Good understanding of machine learning principles, model training, optimisation, and evaluation.
- Experience integrating large language models into software applications or AI-driven workflows.
- Understanding of AI agents, multi-agent architectures, and agent orchestration concepts.
- Familiarity with MCP and connecting AI systems with external tools and data sources.
- Knowledge of cybersecurity principles, tools, and techniques.
- Experience working with containerised environments such as Docker.
- Ability to write clean, modular, testable, and maintainable code.
- Excellent English communication and technical writing skills.
- Ability to work independently and collaborate with multidisciplinary teams.
Responsibilities
- Design, develop, and optimise reinforcement learning algorithms.
- Integrate large language models into agent reasoning, threat intelligence, automated decision-making, and human-machine interactions.
- Implement and extend MCP integrations connecting AI applications with external tools, data sources, and services.
- Develop modular AI architectures and support coordination between multiple agents.
- Prototype AI and reinforcement learning methods and transition successful prototypes into production-ready solutions.
- Collaborate with engineering, data science, and product specialists to integrate and deploy machine learning and reinforcement learning models.
- Design experiments and evaluate model performance, reliability, and effectiveness.
- Develop scalable, maintainable, and documented Python code; contribute to code reviews, testing, debugging, and technical documentation.
- Support deployment, monitoring, and continuous improvement of AI-driven applications.
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