Cloud MLOps Engineer

1 week ago

Lahore, Punjab, Pakistan beBeeMLOps Full time

Are you looking for a challenging role that combines cloud computing and machine learning?

We are seeking a Cloud MLOps Engineer to join our team of experienced professionals who specialize in designing, implementing, and managing scalable solutions for various industries.

About the Role
  • This is an exciting opportunity to work on complex projects, leveraging your expertise in cloud-native infrastructure, containerization, and DevOps practices.
  • You will be responsible for ensuring the smooth operation of our cloud-based systems, optimizing their performance, and maintaining high levels of security and reliability.
Key Responsibilities:
  • C.I./C.D. Pipeline Design: Implement and manage continuous integration/continuous deployment pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps to streamline software development and delivery processes.
  • Infrastructure-as-Code (IaC): Develop and maintain Terraform scripts to provision and manage cloud infrastructure resources efficiently.
  • Container Orchestration: Manage Kubernetes clusters to deploy, scale, and monitor containerized applications.
  • Cloud Security: Ensure cloud infrastructure compliance with industry standards and best practices, implementing measures to prevent data breaches and unauthorized access.
  • MLOps Best Practices: Collaborate with data science teams to develop, deploy, and maintain machine learning models, adhering to established MLOps standards and guidelines.
Required Skills
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Minimum 3 years of experience in DevOps, MLOps, or related fields.
  • Hands-on experience with cloud platforms (AWS, GCP, Azure).
  • Proficient in CI/CD tools, containerization, and orchestration.
  • Strong understanding of cloud networking, security, and monitoring.
Benefits
  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • A dynamic and collaborative work environment.

Apply Now if you're passionate about cloud computing, machine learning, and DevOps. We look forward to reviewing your application.

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