高级 Python 工程师（具备 DevOps 与 ML/LLM 经验）
Senior Python Engineer (with DevOps & ML/LLM experience)
加入Civitta——一家在20多个国家拥有750+同事的国际公司。我们专注于管理咨询、融资和数字解决方案。起源于中欧和东欧，我们也在中亚、中东和美国开展项目。
帮助企业在数字解决方案中实现战略：从AI驱动的营销到数据驱动的产品和定制软件。我们将商业思维与技术执行相结合。每天，你可能会使用预测分析构建电子商务平台，设计高影响力的数字活动，或开发能带来可衡量结果的数据驱动产品。
与我们一同踏上旅程，加入我们成为欧盟地区的ML Ops工程师！
我们正在寻找一名ML Ops工程师加入一个国际化的、以结果为导向的团队，该团队位于机器学习、云基础设施和高质量软件开发的交汇点。你将在项目从概念验证到生产的过程中发挥关键作用，编写稳健、可扩展且干净的Python代码。
请注意，只有居住在欧盟国家的申请者才会被考虑此职位。
你将：
· 设计并实现端到端解决方案，从原型到生产部署；
· 与组织内的数据科学家、开发人员和分析师协作；
· 确保每个交付成果都具备生产级质量——性能、安全性和可维护性；
· 构建和优化利用LLMs、机器学习和向量数据库的解决方案；
· 在Azure和AWS上设置和管理基础设施，包括私有端点和VPN集成；
· 参与DevOps流程，以优化CI/CD、监控和部署。
要求：
· 软件开发领域6年以上经验（具有显著的Python专业知识）；
· 以业务为导向的思维方式；
· 良好的DevOps知识；
· 在云平台（Azure、AWS）上有扎实的经验；
· 熟悉生产环境中的LLMs和ML工作流；
· 具有向量数据库和安全网络集成（VPN、私有端点）的经验；
· 优秀的沟通能力，以结果为导向的问题解决方式。
福利：
· 团队建设活动——我们通过各种举措和非正式聚会促进团队凝聚力；
· 灵活的工作时间；
· 有竞争力的薪资。
最初发布于Himalayas
查看英文原文
Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.
Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.
Take a step towards your journey with us and join us as an ML Ops Engineer in the EU!
We are looking for an ML Ops Engineer to join an international, results-driven team working at the intersection of machine learning, cloud infrastructure, and high-quality software development. You’ll play a key role in taking projects from proof-of-concept to production, writing robust, scalable, and clean Python code.
Please note that only applicants residing in EU countries will be considered for this position.
You will:
- Design and implement end-to-end solutions, from prototype to production deployment;
- Collaborate with Data Scientists, Developers, and Analysts across the organization;
- Ensure production-grade quality in every deliverable — performance, security, maintainability;
- Build and optimize solutions leveraging LLMs, machine learning, and Vector DBs;
- Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations;
- Contribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.
Requirements:
- 6+ years of total experience in software development (significant Python expertise);
- Business-oriented mindset;
- Good DevOps knowledge;
- Solid experience working with cloud platforms (Azure, AWS);
- Familiarity with LLMs and ML workflows in production environments;
- Experience with Vector DBs and secure network integrations (VPNs, private endpoints);
- Excellent communication skills and a results-oriented approach to problem-solving.
Benefits:
- Team bonding activities — we foster team cohesion through various initiatives and informal gatherings;
- Flexible schedule;
- Competitive salary.
Originally posted on Himalayas