MLOPS - Machine Learning Operations Engineer

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PRIORITY 1 Position: MLOPS - Machine Learning Operations Engineer Location: 100% REMOTE Duration: Long term contract on C2C Client: Verizon Targeted Years of Experience: 3-5 years The MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine learning models. They will work with data scientists and engineers to automate the process of training, testing, and deploying models. They will also monitor the performance of the models in production and troubleshoot issues as needed. In this role, you will have the opportunity to work with some of the latest technologies and tools to build scalable and reliable systems. If you are passionate about DevOps and machine learning, this is the role for you! Creating, deploying, and monitoring AI/ML pipelines Create and maintain the MLOps production infrastructure and services. Drive software development methods such as code profiling, regression testing, continuous integration, and push button deployments. Develop/maintain processes, tools, and documentation to support production. Ensure adequate infrastructure security. Address production issues. Assist in the evaluation of new software, hardware, and infrastructure solutions. Experience with a variety of scripting languages for automating tasks, generating reports, and creating tools (e.g. Python, Shell, SQL) MUST HAVE SKILLS (Most Important): 5+ years of experience in CI/CD, ML Pipelines, and Python 3+ years of experience in Big Data, such as Teradata and Bigquery DESIRED SKILLS: Experience with a public cloud provider, such as AWS, Azure, or GCP Experience with containerization, such as Docker or Kubernetes EDUCATION/CERTIFICATIONS: B.S. in Computer Science or related field. Originally posted on Himalayas

优先职位1 职位：MLOPS - 机器学习运维工程师 地点：100%远程 期限：长期C2C合同 客户：Verizon 目标经验年限：3-5年 MLOPS工程师将负责开发和管理的机器学习模型的持续集成和交付流水线。他们将与数据科学家和工程师合作，自动化模型的训练、测试和部署过程。他们还将监控生产环境中模型的性能，并根据需要排查问题。在这个职位上，你将有机会使用一些最新的技术和工具来构建可扩展且可靠的系统。如果你对DevOps和机器学习充满热情，那么这个职位就是为你准备的！ 创建、部署和监控AI/ML流水线 创建并维护MLOps生产基础设施和服务。 推动软件开发方法，如代码分析、回归测试、持续集成和一键部署。 开发/维护流程、工具和文档以支持生产。 确保足够的基础设施安全。 解决生产问题。 协助评估新的软件、硬件和基础设施解决方案。 具有使用各种脚本语言自动化任务、生成报告和创建工具的经验（例如Python、Shell、SQL） 必备技能（最重要）： 5年以上CI/CD、ML流水线和Python经验 3年以上大数据经验，如Teradata和Bigquery 期望技能： 具有公有云提供商的经验，如AWS、Azure或GCP 具有容器化经验，如Docker或Kubernetes 教育/认证： 计算机科学或相关领域的学士学位。 原发布于Himalayas

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