AI/RL Engineer (Only for GR Residents)
我们正在寻找一个在希腊的高动机和经验丰富的人工智能/RL 软件工程师加入我们的团队。理想候选人将拥有强大的 Python 编程背景,深入了解机器学习,增强学习技术以及集成 LLM 和协调信息控制协议 (MCP) 的模块化代理人的实践经验。责任 ·开发新的增强学习算法来解决复杂的现实问题。·整合大型语言模型 (LLM) 来提高代理推理,威胁智能或人类-机器互动。· 实施和扩展信息控制协议 (MCP) 以实现模块化 AI 组件或多代理系统之间协调行为。· 原型新方法并帮助成功原型转变为部署的解决方案。· 与跨功能团队合作 (数据科学,工程,产品)将 RL 模型集成和部署在生产中。· 使用适当的实验设计和统计分析进行模型性能全面评估。· 写清洁,可维护和文档良好代码。·参与代码审查并确保你的团队代码质量。· 解决复杂软件问题和调试。要求 · A 士或博士学位。· 具有 Python 编程语言的强掌握和与受欢迎机器学习图书馆经验。·具备加强学习,特别是 OpenAI Gym 的经验。•对网络安全原则,工具和技术的知识。·使用集装箱环境的经验;·卓越的分析,概念和解决问题的能力。·优秀的口头演示和技术写作技能 (英语). ·独立工作的能力以及作为团队的一部分。·有动力和自主驾驶人员。优先资格。· 经验 Kubernetes,卡夫卡,API. ·熟悉 AWS 或 Azure 等云计算平台。· DevOps 实践和 CI/CD 管道的经验。
查看英文原文
We are seeking a highly motivated and experienced AI/RL Software Engineer based in Greece to join our team. The ideal candidate will have a strong background in Python programming and a deep understanding of machine learning, reinforcement learning techniques and practical experience integrating LLMs and coordinating modular agents using Message Control Protocol (MCP).
Responsibilities
- Develop novel reinforcement learning algorithms to solve complex, real-world problems.
- Integrate Large Language Models (LLMs) to enhance agent reasoning, threat intelligence, or human-machine interactions.
- Implement and extend Message Control Protocol (MCP) to enable coordinated behavior across modular AI components or multi-agent systems.
- Prototype new methods and help transition successful prototypes into deployed solutions.
- Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate and deploy RL models in production.
- Conduct thorough evaluations of model performance using appropriate experimental design and statistical analysis.
- Write clean, maintainable and well-documented code.
- Participate in code reviews and ensure the code quality of your team.
- Troubleshoot and debug complex software issues.
Requirements
- A Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
- Strong proficiency in Python programming language and experience with popular machine learning libraries.
- Experience with reinforcement learning, specifically with OpenAI Gym.
- Knowledge of Cybersecurity principles, tools and techniques.
- Experience with container-based environments.
- Exceptional analytical, conceptual and problem-solving abilities.
- Excellent oral presentation and technical writing skills (English).
- Ability to work independently as well as part of a team.
- Motivated and self-driving personnel.
Preferred qualifications
- Experience with Kubernetes, Kafka, APIs.
- Familiarity with cloud computing platforms such as AWS or Azure.
- Experience with DevOps practices and CI/CD pipelines.
Benefits
- Highly competitive salary reviewed upwards on a regular basis.
- Working from home: Hit your goals from the comfort of your home because we value performance, not the place.
- Participation in state-of-the-art project and tech challenges and participation in large-scale projects.
- Personal and professional development, amongst industry experts and talented people.
- Continuous learning, having access to board resources.
- Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role.
- Equipment support so you have all the tools to do effectively and efficiently your work.
- No dress code as we want you to be as comfortable as possible.
At AI2CYBER, we are a cybersecurity firm dedicated to providing cutting-edge solutions to protect businesses and individuals from evolving cyber threats. Our mission is to empower organisations to navigate the complex cybersecurity landscape with confidence. We believe that by combining robust security solutions, continuous improvement, and a proactive mindset, we can help our clients stay one step ahead of cyber attackers. We are committed to building a safer digital world and are passionate about making a positive impact in the industry.
This is a full-time position with competitive salary and benefits. If you have a passion for reinforcement learning and are looking for an exciting opportunity to work with cutting-edge technology, we would love to hear from you!
Note: All applications will be treated with strict confidentiality.
To apply, please send us your CV at
Requirements
This position in available onlyfor Greek residents.
Originally posted on Himalayas