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Principal MLOps Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Principal, 7+ years of relevant hands-on experience

📍 Location: U.S.

💸 Salary: 140000 - 225000 USD per year

🔍 Industry: Distributed Data Systems, Platforms at Scale, Complex Application Development

🏢 Company: Raft Company Website

🗣️ Languages: English

⏳ Experience: 7+ years of relevant hands-on experience

🪄 Skills: AWSDockerPythonSoftware DevelopmentAgileGitJavaKafkaKubernetesMachine LearningSCRUMAzureCommunication SkillsCollaborationCI/CDDevOpsAttention to detailComplianceScripting

Requirements:
  • 7+ years of relevant hands-on experience.
  • 5+ years experience with Docker and Kubernetes.
  • 5+ years experience supporting enterprise Cloud applications or infrastructure (AWS, Azure, etc.).
  • Solid understanding of Helm Charts.
  • Practical experience with Machine Learning on Kubernetes.
  • Experience managing clusters with GPU machines.
  • Experience building and maintaining machine learning platforms and pipelines.
  • Practical programming and scripting skills (Python preferred).
  • Strong communication skills, analytical thinking, and creative problem-solving.
  • Familiarity with modern software development practices including scrum/agile, Git, and DevOps.
  • Ability to obtain a Security+ certification within the first 90 days.
Responsibilities:
  • Deploy ML infrastructure.
  • Build MLOps pipelines.
  • Contribute to the development of a full-lifecycle ML platform.
  • Collaborate with a team to enhance operators' awareness of critical events.
  • Process large volumes of real-time data efficiently.
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  • Architect and optimize the existing data infrastructure to support machine learning and deep learning models.
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  • Develop and operate cost-effective inference systems for a variety of models, including LLMs.
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LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++AlgorithmsData StructuresSparkTensorflowCommunication SkillsC (Programming language)

Posted 5 months ago
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