Principal MLOps Engineer

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About Centric Software: Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market. Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional. Senior ML Ops Engineer Experience 5+ years of experience in software engineering, machine learning engineering, or a related field, including at least 2 years of building and operating production ML or other data-intensive systems. Demonstrated ownership of cloud infrastructure and deployment pipelines, including Infrastructure as Code, AWS or Azure, CI/CD, and containerized applications. Strong Python programming skills and hands-on experience with modern data and ML platforms such as Databricks, Apache Spark, Delta Lake, and MLflow. A production-first engineering mindset, with experience in testing, observability, debugging, performance optimization, reliability engineering, and delivering enterprise ML systems that meet operational SLAs. Strong system design and communication skills, with the ability to define clean interfaces, evaluate architectural trade-offs, and make sound technical decisions in ambiguous environments. Experience working in international, cross-functional organizations, supporting the full product lifecycle from pre-sales demonstrations through production deployment for global enterprise customers. What You Will Work On Design, build, and operate production-grade ML platforms and infrastructure across AWS and Azure in a globally distributed environment. Bridge the gap between research prototypes and production systems by improving software quality, deployment workflows, automation, and operational processes. Contribute to the technical architecture by identifying production risks, proposing pragmatic alternatives, and improving system reliability and scalability. Improve engineering transparency through architectural decision records, dependency mapping, operational documentation, and post-incident reviews. Mentor engineers across the team, promote engineering best practices, and help cultivate a culture of technical excellence and continuous improvement. Nice to Have Experience with ML Ops platforms, model lifecycle management, feature stores, model monitoring, or AI evaluation infrastructure. Experience deploying and operating LLM-based or agentic AI systems in production. Familiarity with engineering maturity frameworks or organizational models such as CMMI, Cynefin, or similar approaches. Experience working through periods of significant organizational or technical change, including mergers, platform migrations, or large-scale reorganizations. What This Role Is Not This is not a narrowly scoped implementation or ticket-driven engineering role. We are looking for an engineer who can work across software, infrastructure, ML systems, and engineering processes, helping shape technical direction while remaining hands-on. Success in this role requires sound technical judgment, ownership, and the ability to balance immediate delivery with long-term maintainability. Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information. Originally posted on Himalayas

关于Centric Software：Centric Software® 是全球领导者，为各种规模的零售商、品牌和制造商提供创新的、AI驱动的产品概念到商业化平台。我们为零售、时尚、奢侈品、鞋类、户外、家居和消费品品牌提供开创性的最佳解决方案，用于规划、设计、开发、采购、合规、购买、制造、定价、分配、销售和补货产品。我们的技术赋能品牌简化流程、提升效率，并在不断变化的市场中自信运营。我们的故事是一个快速增长、大胆创意和非凡机遇的故事。我们在这里挑战现状——我们正在寻找想要做同样事情的杰出人才。无论你身在世界的哪个角落，这都是你参与非凡事业的机会。

高级ML Ops工程师

经验

5年以上软件工程、机器学习工程或相关领域经验，其中至少2年构建和运营生产ML或其他数据密集型系统的经验。

具有云基础设施和部署管道的明确所有权经验，包括基础设施即代码、AWS或Azure、CI/CD以及容器化应用。

强大的Python编程能力，以及使用现代数据和ML平台的实践经验，如Databricks、Apache Spark、Delta Lake和MLflow。

生产优先的工程思维，具有测试、可观测性、调试、性能优化、可靠性工程以及交付满足运营SLA的企业ML系统的经验。

强大的系统设计和沟通能力，能够定义清晰的接口、评估架构权衡，并在模糊环境中做出合理的技术决策。

具有在国际化、跨职能组织中工作的经验，支持从售前演示到全球企业客户生产部署的完整产品生命周期。

你将参与的工作

在全球化分布式环境中，跨AWS和Azure设计、构建和运营生产级ML平台和基础设施。

通过提升软件质量、部署工作流、自动化和运营流程，弥合研究原型与生产系统之间的差距。

通过识别生产风险、提出务实的替代方案，并提升系统可靠性和可扩展性，为技术架构做出贡献。

通过架构决策记录、依赖关系映射、运营文档和事后复盘，提升工程透明度。

指导团队中的工程师，推广工程最佳实践，并帮助培养技术卓越和持续改进的文化。

加分项

具有ML Ops平台、模型生命周期管理、特征存储、模型监控或AI评估基础设施的经验。

具有在生产中部署和运营基于LLM或代理式AI系统的经验。

熟悉工程成熟度框架或组织模型，如CMMI、Cynefin或类似方法。

具有在重大组织或技术变革时期工作的经验，包括合并、平台迁移或大规模重组。

这个角色不是什么

这不是一个范围狭窄的实现或工单驱动的工程角色。我们正在寻找一位能够跨软件、基础设施、ML系统和工程流程工作的工程师，在保持动手实践的同时帮助塑造技术方向。该角色的成功需要合理的技术判断力、所有权意识，以及在即时交付与长期可维护性之间取得平衡的能力。

Centric Software为所有合格申请人提供平等的就业机会，不考虑种族、性别、性取向、性别认同、国籍、肤色、年龄、宗教、受保护的退伍军人或残疾身份或遗传信息。

最初发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准