Sr. AI Ops Engineer - Doha, , Qatar

<\/h3> · Job Summary<\/span> · <\/h3>The Sr. AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross -functional teams to optimi ...

وصف الوظيفة

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Job Summary<\/span>
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The Sr. AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross -functional teams to optimize AI operations, and troubleshooting issues as they arise.<\/span>
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Responsibilities and Duties<\/span>
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• Deploy, monitor, and maintain AI models and
  systems to ensure optimal performance and reliability.<\/span><\/span>
  <\/span><\/span><\/li>
• Implement and manage CI/CD pipelines for
  the continuous integration and delivery of AI models.<\/span><\/span>
  <\/span><\/span><\/li>
• Collaborate with data scientists, AI
  engineers, and other stakeholders to understand model requirements and ensure
  successful deployment.<\/span><\/span>
  <\/span><\/span><\/li>
• Monitor the performance of AI models and
  systems, identifying and resolving issues promptly.<\/span><\/span>
  <\/span><\/span><\/li>
• Develop and maintain automated monitoring
  and alerting systems to ensure the health and performance of AI systems.<\/span><\/span>
  <\/span><\/span><\/li>
• Optimize AI models and infrastructure for
  scalability and efficiency.<\/span><\/span>
  <\/span><\/span><\/li>
• Ensure compliance with data governance,
  security, and regulatory standards in AI operations.<\/span><\/span>
  <\/span><\/span><\/li>
• Document deployment procedures, monitoring
  processes, and maintenance activities.<\/span><\/span>
  <\/span><\/span><\/li>
• Stay updated with the latest advancements
  in AI operations and infrastructure technologies.<\/span><\/span>
  <\/span><\/span><\/li>
• Provide technical support and guidance to
  AI Ops engineers and other team members.<\/span><\/span>
  <\/span><\/span><\/li>
• Participate in project planning and
  contribute to the development of project timelines and deliverables.<\/span><\/span>
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• Perform other duties relevant to the job as
  assigned by the Principal AI Ops Engineer or senior management.<\/span><\/span>
  <\/span><\/li><\/ul>
  <\/div><\/span>
  

  Requirements<\/h3>

  • Bachelor's degree in Computer Science,
    Information Technology, or a related field<\/span><\/span>
    <\/span><\/span><\/li>
  • Relevant certifications (e.g., AWS
    Certified DevOps Engineer, Google Cloud Professional DevOps Engineer) are
    preferred<\/span><\/span>
    <\/span><\/span><\/li>
  • Minimum of 5 years of experience in AI
    operations, DevOps, or related fields<\/span><\/span>
    <\/span><\/span><\/li>
  • Experience in managing the deployment and
    maintenance of AI models<\/span><\/span>
    <\/span><\/span><\/li>
  • Strong programming skills in languages such
    as Python ,etc.<\/span><\/span>
    <\/span><\/span><\/li>
  • Proficiency in AI and machine learning
    frameworks (e.g., TensorFlow, PyTorch)<\/span><\/span>
    <\/span><\/span><\/li>
  • Experience with CI/CD tools (e.g., Jenkins,
    GitLab CI)<\/span><\/span>
    <\/span><\/span><\/li>
  • Excellent problem -solving and
    troubleshooting skills<\/span><\/span>
    <\/span><\/span><\/li>
  • Strong communication and interpersonal
    skills<\/span><\/span>
    <\/span><\/span><\/li>
  • In -depth knowledge of AI operations and
    infrastructure management<\/span><\/span>
    <\/span><\/span><\/li>
  • Familiarity with cloud platforms (e.g.,
    AWS, Azure, Google Cloud) and their AI services<\/span><\/span>
    <\/span><\/span><\/li>
  • Understanding of data governance, security,
    and regulatory standards<\/span><\/span>
    <\/span><\/span><\/li>
  • Ability to manage multiple tasks and
    prioritize effectively<\/span><\/span>
    <\/span><\/span><\/li>
  • Strong attention to detail and commitment
    to delivering high -quality work<\/span><\/span>
    <\/span><\/span><\/li>
  • Ability to work independently and as part
    of a team<\/span><\/span>
    <\/span><\/span><\/li>
  • Programming languages (e.g., Python, Java)<\/span><\/span>
    <\/span><\/span><\/li>
  • AI and machine learning frameworks (e.g.,
    TensorFlow, PyTorch)<\/span><\/span>
    <\/span><\/span><\/li>
  • CI/CD tools (e.g., Jenkins, GitLab CI)<\/span><\/span>
    <\/span><\/span><\/li>
  • Cloud platforms (e.g., AWS, Azure, Google
    Cloud)<\/span><\/span>
    <\/span><\/span><\/li>
  • Monitoring and logging tools (e.g.,
    Prometheus, ELK Stack)<\/span><\/span>
    <\/span><\/span><\/li>
  • Collaboration and communication tools
    (e.g., Slack, Microsoft Teams)<\/span><\/span>
    <\/span><\/span><\/li><\/ul>
    <\/div><\/span>