Machine Learning Specialist

1 month ago


Hyderabad, India Cloud4C Services Full time

DevOPs / MLOPs engineer

Key Responsibilities

  • Develop and maintain infrastructure automation using Ansible for dynamic provisioning and configuration management.
  • Manage version control systems, particularly Git, and establish best practices for code management and collaboration
  • Design, implement, and optimize CI/CD pipelines using Jenkins
  • Create and maintain Docker containers for application deployment and scalability
  • Implement infrastructure as code using Terraform for cloud resource management
  • Design, deploy, and manage Kubernetes clusters for container orchestration
  • Develop and implement various deployment strategies (e.g., blue-green, canary, rolling updates) to ensure smooth and reliable application releases
  • Deploy microservices using Docker, ensuring efficient containerization and seamless integration.
  • Utilize Helm charts for managing Kubernetes applications and streamlining deployments

Required Skills

  • Strong knowledge of Git and Git workflows
  • Experience with Jenkins for CI/CD pipeline creation and management
  • Expertise in Docker containerization and Dockerfile creation
  • Proficiency in Terraform for infrastructure as code
  • Strong understanding of Kubernetes and container orchestration
  • Experience with various deployment strategies and their implementation
  • Knowledge of microservices architecture and containerized deployments
  • Proficiency in using Helm for packaging

Tech Stack:

  • Version Control: Git
  • CI/CD: Jenkins
  • Containerization: Docker
  • Container Orchestration: Kubernetes
  • Infrastructure as Code: Terraform
  • Package Management: Helm
  • Configuration Management: Ansible
  • Scripting Languages: Bash, Python
  • Load Balancers: Nginx, HAProxy

Good To have

  • Monitoring and Logging: Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana)
  • Security: Understanding of DevSecOps principles and tools (e.g., SonarQube, OWASP ZAP)
  • MLOps Tools: MLflow, Kubeflow, Weights & Biases
  • SLURM

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