AI Ops Engineer - Doha, , Qatar

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

وصف الوظيفة

<\/h3>

Job Summary<\/span><\/h3> The AI Ops Engineer manages the
deployment, monitoring, and maintenance of AI models. 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><\/span><\/span>
<\/div>
<\/div>

Responsibilities and Duties<\/span><\/h3>

• Deploy,
  monitor, and maintain AI models and systems to ensure optimal performance and
  reliability.<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Implement
  and manage CI/CD pipelines for the continuous integration and delivery of AI
  models.<\/span><\/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>
  <\/span><\/li>
• Monitor
  the performance of AI models and systems, identifying and resolving issues
  promptly.<\/span><\/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>
  <\/span><\/li>
• Optimize
  AI models and infrastructure for scalability and efficiency<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Ensure
  compliance with data governance, security, and regulatory standards in AI
  operations.<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Document
  deployment procedures, monitoring processes, and maintenance activities.<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Stay
  updated with the latest advancements in AI operations and infrastructure
  technologies.<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Provide
  technical support and guidance to junior team members.<\/span><\/span><\/span><\/span>
  <\/span><\/li>
• Participate
  in project planning and contribute to the development of project timelines and
  deliverables.<\/span><\/span><\/span>
  <\/span><\/li>
• Perform
  other duties relevant to the job as assigned by the Sr. AI Ops Engineer or
  senior management.<\/span><\/span><\/span>
  <\/span><\/span><\/li><\/ul>
  <\/div><\/span>
  

  Requirements<\/h3>
  <\/div>

  • 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 3 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<\/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)<\/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><\/li><\/ul>
    <\/div>
    <\/div><\/span>