Cloud and AI Engineering Professional

23 hours ago

Lahore, Punjab, Pakistan beBeeMlops Full time

Overview

We are seeking a skilled Lead DevOps/MLOps Engineer to join our growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing MLOps solutions at scale.

Key Responsibilities:

  • Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
  • Develop and maintain Infrastructure-as-Code using Terraform.
  • Manage container orchestration environments using Kubernetes.
  • Ensure cloud infrastructure is optimized, secure, and monitored effectively.
  • Collaborate with data science teams to support ML model deployment and operationalization.
  • Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow).
  • Build and maintain automated ML pipelines to streamline model lifecycle management.
Required Skills and Qualifications
  • 3–7 years of experience in DevOps and/or MLOps roles.
  • Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps.
  • Strong expertise in Terraform and cloud-native infrastructure (AWS preferred).
  • Hands-on experience with Kubernetes, Docker, and microservices.
  • Solid understanding of cloud networking, security, and monitoring.
  • Scripting proficiency in Bash and Python.
Benefits
  • This role offers the opportunity to work with a leading AWS Premier Partner on cutting-edge cloud and AI projects.
  • Candidates will have the chance to collaborate with experienced data science teams and contribute to the development of innovative MLOps solutions.
  • The successful candidate will be part of a dynamic and growing team that values professional growth and development.

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