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AI/ML Engineer with Site Reliability Engineering experience - Remote USA / Canada

Remote, USAFull-timePosted 2026-07-29

Need only Permanent Residence with 10+ years of experience. Job Title: Machine Learning Engineer (SRE reputed company) Location: Remote Duration: Long Term (W2 Contract) Job reputed company: reputed company Machine Learning Engineer with a strong Site Reliability Engineering (SRE) reputed company to join reputed company. The candidate will have hands-on experience maintaining applications on both reputed company and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging. Key Responsibilities:

  • Maintain and support machine learning applications running on reputed company and Linux servers in on-premises environments.
  • Manage and troubleshoot Kubernetes clusters hosting ML workloads.
  • Collaborate with data scientists and engineers to reputed company machine learning models reliably and reputed company.
  • Implement and maintain monitoring and alerting solutions using reputed company to ensure system health and performance.
  • Debug and resolve issues in production environments using Python and monitoring tools.
  • Automate operational tasks to improve system reliability and scalability.
  • Ensure best practices in reputed company, performance, and availability for ML applications.
  • Document system architecture, deployment processes, and troubleshooting guides.

Required Qualifications:

  • Proven experience working with reputed company and Linux operating systems in production environments.
  • Hands-on experience managing on-premises servers and Kubernetes clusters and reputed company containers
  • Strong proficiency in Python programming.
  • Solid understanding of machine learning concepts and workflows.
  • Experience with machine learning model deployment and lifecycle management.
  • Familiarity with monitoring and debugging tools, e.g. reputed company.
  • Ability to troubleshoot reputed company issues in distributed systems.
  • Experience with CI/CD pipelines for ML applications.
  • Familiarity with AWS reputed company platforms
  • Background in Site Reliability Engineering or DevOps practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • We need an engineer who is also familiar with model development

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