MLOps Engineer
你将要做什么 · 设计和运营可扩展的推断和服务系统用于 ML 工作负载。· 设计并维护自动化数据，培训和推断管道。· 构建和管理应用测试，验证和部署的 CI/CD 管道。•监控和维护部署的 API 以确保性能，可靠性和安全。· 创建和管理内部平台配置和管理生产中的 ML 系统。· 为模型和基础设施健康开发观察仪表和警报系统。· 对 ML 代码，管道和部署的工作流进行单元和集成测试。· 在容器部署和数据处理方面遵循最佳安全实践。·计算机科学，工程或相关领域的学士学位。· 熟练使用 Python 具有强大的软件架构和开发技能。· 对云平台的专业知识，最好是 Azure,用于扩展可靠的 ML 系统的架构。· 关于版本控制系统，包管理，依赖跟踪的强大知识。· 使用 Docker 进行容器化方面的专业知识以实现可扩展和可维护的系统部署。·对 ML 系统和基础设施监控，记录和警报的经验。· 一般机器学习概念和算法的知识。· 在生产环境中部署和管理 ML 模型的经验证明。· 了解数据建模，ETL 流程和数据库系统 （SQL 和 NoSQL）我们 ARRISE 是全球 iGaming 行业软件开发和服务的领导者，汇集了超过2,500名专业人员在世界各地12多个地点运营。从概念到交付，我们结合技术专业知识，创造力和行业知识来开发产品，平台和服务，这些产品塑造玩家体验并支持行业领先的一些品牌。我们最为 Pragmatic Play 提供的工作而闻名，创建和支持全球数百万玩家享受的技术，产品和专业服务。首次发布在喜马拉雅山脉
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What you will do
- Design and operate scalable inference and serving systems for ML workloads.
- Design and maintain automated data, training, and inference pipelines.
- Build and manage CI/CD pipelines for application testing, validation, and deployment
- Monitor and maintain deployed APIs to ensure performance, reliability, and security.
- Create and manage internal platforms to configure and manage ML systems in production.
- Develop observability dashboards and alerting systems for model and infrastructure health.
- Implement unit and integration tests for ML code, pipelines, and deployment workflows.
- Follow security best practices in containerized deployments and data handling.
What you bring
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proficient in Python with strong software architecture and development skills.
- Expertise in cloud platforms, preferably Azure, for architecting scalable and reliable ML systems.
- Strong knowledge of version control systems, package management, dependency tracking.
- Expertise in containerization using Docker for scalable and maintainable system deployments.
- Experience with monitoring, logging, and alerting for ML systems and infrastructure.
- Knowledge of general Machine Learning concepts and algorithms.
- Proven experience deploying and managing ML models in production environments.
- Knowledge of data modelling, ETL processes, and database systems (SQL and NoSQL)
About us
ARRISE is a global leader in software development and services for the iGaming industry, bringing together more than 2,500 professionals operating across more than 12 locations worldwide.
From concept through to delivery, we combine technical expertise, creativity and industry knowledge to develop products, platforms and services that shape player experiences and support some of the industry's leading brands.
We are best known for the work we deliver for Pragmatic Play, creating and supporting technology, products and specialists services enjoyed by millions of players worldwide.
Originally posted on Himalayas