Remote DevOps Engineer

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Description:

  • The DevOps Engineer will be responsible for designing, implementing, and managing robust AI solutions and CI/CD pipelines.
  • Collaborate closely with development teams to integrate AI components into platforms and ensure efficient deployment processes.
  • Develop and integrate AI and machine learning models into existing platforms.
  • Identify opportunities to enhance functionality and user experience by integrating AI technologies.
  • Leverage data analytics and machine learning techniques to improve product performance and decision-making processes.
  • Maintain and enhance AI models to improve accuracy and performance.
  • Ensure ethical and responsible AI practices within development and deployment processes.
  • Design, implement, and manage CI/CD pipelines to automate deployment processes.
  • Maintain and optimize cloud infrastructure for scalability, security, and performance.
  • Monitor system performance and implement proactive measures to ensure uptime.
  • Experiment with new technologies and methodologies to improve deployment processes.
  • Lead initiatives to modernize legacy systems and integrate them into cloud infrastructure.

Requirements:

  • 2+ years of experience in DevOps and cloud infrastructure management.
  • 2+ years of experience in AI/ML development and deployment.
  • Proficient in CI/CD tools such as Concourse CI, Jenkins GitLab CI, CircleCI.
  • Strong expertise in cloud platforms like AWS, Azure, or Google Cloud.
  • Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.
  • Familiarity with large language models (LLMs) and transformer architectures.
  • Experience with Hugging Face and other modern AI/ML frameworks and tools.
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Strong analytical and problem-solving skills with the ability to work with large datasets.
  • Ability to work in a fast-paced environment.
  • Excellent communication and teamwork skills.

Benefits:

  • Opportunity to work with cutting-edge AI technologies and DevOps practices.
  • Collaborate with a dynamic team of professionals in a fast-paced environment.
  • Competitive salary and benefits package.
  • Room for growth and professional development within the company.
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