
AI Engineer
Posted May 25

Posted May 25
This is a fully remote position, open to applicants in Greece.
• Create innovative reinforcement learning algorithms aimed at addressing intricate, real-world challenges.
• Incorporate Large Language Models (LLMs) to improve agent reasoning, threat intelligence, or interactions between humans and machines.
• Develop and enhance Message Control Protocol (MCP) to facilitate synchronized behavior among modular AI components or multi-agent systems.
• Design prototypes for new methods and assist in transitioning successful prototypes into implemented solutions.
• Collaborate with interdisciplinary teams (Data Science, Engineering, Product) to integrate and deploy reinforcement learning models in production environments.
• Perform comprehensive evaluations of model performance utilizing suitable experimental designs and statistical methods.
• Write clear, maintainable, and well-documented code.
• Engage in code reviews to uphold the quality of your team's code.
• Diagnose and resolve complex software issues.
• A Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline, or equivalent hands-on experience.
• Strong expertise in the Python programming language along with experience in widely-used machine learning libraries.
• Familiarity with reinforcement learning, particularly with OpenAI Gym.
• Understanding of Cybersecurity principles, tools, and methodologies.
• Experience working within container-based environments.
• Outstanding analytical, conceptual, and problem-solving skills.
• Excellent verbal presentation and technical writing abilities (in English).
• Capacity to work autonomously as well as collaboratively within a team.
• Driven and self-motivated individuals.
• Highly competitive salary that is regularly reviewed for increases.
• Work from home: Achieve your targets comfortably from your home, as we prioritize performance over location.
• Involvement in cutting-edge projects and technical challenges, along with participation in large-scale initiatives.
• Opportunities for personal and professional growth alongside industry experts and talented colleagues.
• Continuous learning with access to extensive resources.
• Onboarding plan and training to ensure a smooth transition into your new role, making you feel confident and prepared.
• Equipment support to provide you with all necessary tools for effective and efficient work.
• No dress code, as we want you to be as comfortable as possible.
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