AI/ML工程师

AI/ML工程师负责设计、开发和实施人工智能和机器学习模型以解决企业IT和运营挑战。作为AI解决方案负责人，您将推动AI驱动自动化在IT和网络环境中的路线图。您将架构可扩展的解决方案，包括自动化网络诊断和AI代理 for NOC操作，同时领导LLM的整合。管理敏捷待办事项，您将与工程团队合作构建机器学习模型用于异常检测和容量规划。通过PowerShell、Python和AIOps专业知识，您将把复杂的IT运营数据转化为强大的自动化框架，优化网络性能。

4+ years of experience in IT services, with at least 3 years in: (i) IT Service Automation – Orchestration, Scripting, and Process Assessment. (ii) AI Engineering – Developing and deploying AI Agents and cutting-edge GenAI and ML solutions to address complex business challenges. Expertise in integrating various tools and building analytics/insights. Proficiency in at least two scripting languages such as PowerShell, Python, or Shell Script. Strong foundational knowledge across core IT domains, with a specific emphasis on Network and Network Services, including understanding network topologies, protocols, and common operational issues. Demonstrable experience implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4). Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning. Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models. Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs). Experience with AI/ML libraries and frameworks. A strong understanding of ITIL process on one or more service lifecycle or service capability modules. Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, and maintenance. Excellent communication skills with an ability to explain concepts and solutions clearly and concisely. Excellent analytical and problem-solving skills.