Principal AI/ML Architect

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Principal ML Architect (Client-Facing, Agentic AI) - Spain Location: Spain (Fully Remote) Build the Next Generation of AI Products with TensorOps TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems. Our team blends research depth with pragmatic engineering, and we’re looking for a seasoned architect to lead our client engagements and technical teams in Portugal. What We’re Working On Conversational Copilots: Intelligent assistants that augment and empower knowledge workers. Autonomous Agentic Systems: Sophisticated agents that perform complex research, analysis, and actions for market-leading platforms. High-Performance Search Recommendation: Building large-scale, low-latency recommender systems, ad-tech platforms, and search solutions. Decision-Support Tools: High-stakes systems for critical applications in healthcare, finance, and e-commerce. Core Stack Python, FastAPI, Docker TensorFlow, LightGBM, CatBoost Open-source Commercial LLMs LangChain / LangGraph, Langfuse, LlamaIndex MLFlow, Kubeflow AWS and GCP The Role As a Principal ML Architect, you will be the senior technical leader for our most ambitious client projects. You will act as a trusted advisor to clients, a mentor to your engineering team, and the chief architect for complex AI systems. This is a hands-on leadership role that combines deep technical expertise with strategic client management. You will: Lead Technical Strategy Architecture: Partner with clients to understand their core business challenges and design sophisticated, scalable solutions leveraging machine learning, search, and agentic AI paradigms. Manage Client Engagements: Serve as the primary technical point of contact for client stakeholders, translating complex concepts, managing expectations, and ensuring project success from a technical and business perspective. Lead Mentor Engineering Teams: Guide a team of talented ML engineers, fostering a culture of excellence, providing technical direction, and taking ultimate responsibility for project delivery. Drive Innovation: Move beyond conventional ML to architect and implement cutting-edge agentic workflows, agent-based modeling, multi-agent systems, and complex RAG pipelines that deliver transformative value. Oversee the Full Project Lifecycle: Steer projects from initial discovery and architectural design through to deployment, monitoring, and iteration, ensuring solutions are robust, efficient, and production-ready. About You 8+ years of professional experience in machine learning and software engineering, with a proven track record of architecting and delivering large-scale, production-grade AI/ML systems. Significant client-facing experience is essential. You are comfortable and effective in a consulting or architectural role, capable of leading technical discussions with C-level executives and engineering teams alike. Proven leadership and project management experience. You have successfully led engineering teams and managed the technical delivery of complex software projects. Deep expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Expert-level understanding of modern AI systems. You have deep, practical experience with Large Language Models (LLMs), agentic design patterns (e.g., LangChain/LangGraph), and classical ML at scale. You can speak with authority on topics like Learning to Rank (LTR), recommender algorithms, RAG, and fine-tuning. Strong architectural foundation in software engineering, MLOps, and cloud infrastructure (AWS/GCP). You know how to design for scalability, reliability, and low-latency. A BSc/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience that demonstrates your deep expertise. Why TensorOps ? Strategic Impact: Define the technical vision for high-stakes, real-world problems for industry-leading clients. Your work will directly sha

首席ML架构师（面向客户，Agentic AI）- 西班牙
地点：西班牙（完全远程）

与TensorOps一起构建下一代AI产品

TensorOps是一家应用机器学习工作室，帮助欧洲和北美的组织设计、训练和部署生产级GenAI系统。我们的团队将研究深度与务实工程相结合，我们正在寻找一位资深架构师来领导我们在葡萄牙的客户合作和技术团队。

我们正在做什么

对话式Copilots：增强和赋能知识工作者的智能助手。
自主Agentic系统：为市场领先平台执行复杂研究、分析和行动的复杂代理。
高性能搜索推荐：构建大规模、低延迟的推荐系统、ad-tech平台和搜索解决方案。
决策支持工具：用于医疗保健、金融和电子商务关键应用的高风险系统。

核心技术栈
Python、FastAPI、Docker
TensorFlow、LightGBM、CatBoost
开源商用LLMs
LangChain / LangGraph、Langfuse、LlamaIndex
MLFlow、Kubeflow
AWS和GCP

该职位

作为首席ML架构师，您将成为我们最雄心勃勃的客户项目的资深技术负责人。您将担任客户的值得信赖的顾问、工程团队的导师，以及复杂AI系统的首席架构师。这是一个亲力亲为的领导角色，结合了深厚的技术专长与战略性客户管理。

您将：

领导技术战略与架构：与客户合作，理解其核心业务挑战，并利用机器学习、搜索和agentic AI范式设计复杂、可扩展的解决方案。
管理客户合作：作为客户利益相关者的主要技术联系人，转化复杂概念、管理期望，并从技术和业务角度确保项目成功。
领导与指导工程团队：指导一支由优秀ML工程师组成的团队，培育卓越文化，提供技术方向，并对项目交付承担最终责任。
推动创新：超越传统ML，架构并实施尖端的agentic工作流、基于代理的建模、多代理系统和复杂RAG管道，交付变革性价值。
监督完整项目生命周期：引导项目从初始发现和架构设计到部署、监控和迭代，确保解决方案稳健、高效且生产就绪。

关于您

8年以上机器学习和软件工程专业经验，具有架构和交付大规模、生产级AI/ML系统的 proven track record。
丰富的面向客户经验至关重要。您能在咨询或架构角色中自如且高效地工作，能够与C级高管和工程团队领导技术讨论。
proven的领导力和项目管理经验。您已成功领导工程团队并管理复杂软件项目的技术交付。
在Python及其数据科学生态系统（例如Pandas、NumPy、Scikit-learn）方面拥有深厚专长。
对现代AI系统具有专家级理解。您在大语言模型（LLMs）、agentic设计模式（例如LangChain/LangGraph）和大规模经典ML方面拥有深入、实践经验。您能就Learning to Rank（LTR）、推荐算法、RAG和微调等主题权威发言。
在软件工程、MLOps和云基础设施（AWS/GCP）方面具有强大的架构基础。您知道如何为可扩展性、可靠性和低延迟进行设计。
计算机科学、工程或相关领域的BSc/MS/PhD，或展示您深厚专长的同等实践经验。

为什么选择TensorOps？

战略影响：为行业领先客户的高风险、现实世界问题定义技术愿景。您的工作将直接塑造

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