高级机器学习工程师
Senior Machine Learning Engineer
关于公司
Coderio 为全球公司设计和交付可扩展的数字解决方案。我们结合强大的技术专长与产品思维，从头到尾领导复杂的软件项目。我们与国际客户合作，重视自主性和清晰沟通，并通过技术卓越建立长期合作关系。🌍 更多信息：http://coderio.com
这是一个高影响力的工程技术岗位。我们正在寻找一名高级机器学习运维工程师加入我们的团队。您将负责端到端机器学习解决方案的架构、开发和自动化。在已有的工程团队中，您将是连接数据科学和软件工程的关键人物，评估云解决方案，并将可扩展的机器学习模型部署到生产环境中。
这是一个需要亲自执行的岗位。您将负责机器学习生命周期的技术健康状况、云架构的性能和成本效率，并交付高质量、可扩展的解决方案以推动业务价值。
您在此岗位中将承担的责任（职责）
- 机器学习架构与开发：设计和开发稳健的端到端机器学习解决方案。
- 机器学习运维与自动化：管理并自动化完整的机器学习生命周期，确保从开发到生产的无缝过渡。
- 跨职能协作：与数据工程师和数据科学家紧密合作，创建高度可扩展的解决方案，并将其与其他技术领域集成到软件开发生命周期中。
- 云与架构策略：参与云解决方案，积极评估潜在架构的性能和成本效率。
- 业务对齐：与其他团队和利益相关者互动，深入理解业务挑战并提出有效的技术解决方案。
- 指导与倡导：清晰地传达技术概念，并教授团队如何正确使用和采用新开发的技术。
要求
- 教育背景：计算机科学/软件工程学士学位，或在数据工程或机器学习职位中具有同等经验。
- 机器学习部署能力：有实际经验在生产环境中实施和部署机器学习解决方案。
- 核心技术栈：精通 Python、SQL 和 Spark。
- 工具与基础设施：熟悉（或类似）Docker、Git、Bash 脚本编程。
查看英文原文
About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information: http://coderio.com
This is a high-impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture, development, and automation of end-to-end machine learning solutions. Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.
This is a hands-on execution role. You are responsible for the technical health of the ML lifecycle, the performance and cost-efficiency of the cloud architecture, and delivering high-quality, scalable solutions that drive business value.
What To Expect In This Role (Responsibilities)
- ML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions.
- MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
- Cross-Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.
- Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.
- Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
- Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.
Requirements
- Educational Foundation: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
- ML Deployment Mastery: Proven hands-on experience implementing and deploying machine learning solutions in production environments.
- Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark.
- Tooling & Infrastructure: Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
- Architecture & Integration: Solid understanding of data architectures and complex systems integration.
- Problem Solving: Demonstrated ability to troubleshoot and solve complex software system issues.
- Cloud Platforms: Extensive experience with modern cloud platforms, specifically AWS and GCP.
- Soft Skills: Must be a team player who effectively participates within the group. We are looking for a curious profile, a self-learner with a positive attitude, and excellent communication skills.
Nice to Have
- Domain experience in payments or other complex financial systems is a huge plus.
Benefits
- Long-term contract engagement with high impact and autonomy.
- Strategic and high-visibility role within a modern engineering culture.
- Opportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost-efficiency.
- Collaborative international team with strong technical leadership.
- Flexible, dynamic, and fast-paced work environment.
Why Join Coderio? At Coderio, we value talent and excellence. We are a remote-first company, and this specific strategic role offers the opportunity to drive high-stakes initiatives from anywhere. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.