{"id":12617,"date":"2024-11-23T09:01:02","date_gmt":"2024-11-23T09:01:02","guid":{"rendered":"https:\/\/talents2germany.de\/ag\/?page_id=12617"},"modified":"2024-11-23T09:01:02","modified_gmt":"2024-11-23T09:01:02","slug":"devops-engineer-mlai-knowledge","status":"publish","type":"page","link":"https:\/\/talents2germany.de\/ag\/en\/devops-engineer-mlai-knowledge\/","title":{"rendered":"DevOps Engineer with ML\/AI Knowledge (Remote)"},"content":{"rendered":"\t\t
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DevOps Engineer with ML\/AI Knowledge (Remote)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Overview:<\/strong><\/h4>

We are seeking a talented DevOps Engineer with ML\/AI Knowledge<\/strong> to join our team. Working remotely for a German-based company, you will support and optimize the infrastructure and deployment processes for machine learning and AI-driven applications. This role requires a combination of DevOps expertise and foundational knowledge of machine learning technologies to bridge the gap between development and operations effectively.<\/p>

Key Responsibilities:<\/strong><\/h4>
  1. Infrastructure Management<\/strong>
    • Build and manage scalable, cloud-based infrastructure for AI\/ML applications.<\/li>
    • Implement and maintain containerized environments using Docker and orchestration tools like Kubernetes.<\/li>
    • Optimize deployment pipelines to support seamless integration of machine learning models.<\/li><\/ul><\/li>
    • CI\/CD and Automation<\/strong>
      • Develop and manage CI\/CD pipelines to automate build, testing, and deployment processes.<\/li>
      • Monitor and enhance system reliability, scalability, and performance through proactive automation.<\/li><\/ul><\/li>
      • AI\/ML Workflow Support<\/strong>
        • Collaborate with data scientists and AI engineers to streamline model training, testing, and deployment.<\/li>
        • Manage and deploy ML pipelines, ensuring integration into production environments.<\/li>
        • Optimize workflows for ML model serving and API integration.<\/li><\/ul><\/li>
        • Monitoring and Security<\/strong>
          • Set up monitoring tools to track system performance, application uptime, and resource utilization.<\/li>
          • Implement security best practices to safeguard sensitive data and ensure compliance with regulations.<\/li><\/ul><\/li>
          • Collaboration and Troubleshooting<\/strong>
            • Work closely with development teams to resolve infrastructure-related bottlenecks.<\/li>
            • Provide technical support for AI\/ML applications in production.<\/li><\/ul><\/li><\/ol>

              Required Technical Skills:<\/strong><\/h4>
              • DevOps Expertise<\/strong>:
                • Proficiency with containerization tools (Docker) and orchestration platforms (Kubernetes).<\/li>
                • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.<\/li>
                • Strong knowledge of CI\/CD pipelines and automation tools (e.g., Jenkins, GitHub Actions).<\/li><\/ul><\/li>
                • Infrastructure and Deployment<\/strong>:
                  • Expertise in managing scalable, distributed systems.<\/li>
                  • Experience in deploying AI\/ML models in production environments.<\/li>
                  • Familiarity with infrastructure as code tools such as Terraform or Ansible.<\/li><\/ul><\/li>
                  • AI\/ML Knowledge<\/strong>:
                    • Foundational understanding of machine learning and AI workflows.<\/li>
                    • Experience with managing ML pipelines and serving models through APIs.<\/li>
                    • Basic knowledge of LLMs and their deployment in production.<\/li><\/ul><\/li>
                    • Monitoring and Security<\/strong>:
                      • Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.<\/li>
                      • Experience in implementing best practices for security and compliance.<\/li><\/ul><\/li>
                      • Database and Version Control<\/strong>:
                        • Experience with SQL and NoSQL databases.<\/li>
                        • Proficiency in Git for version control.<\/li><\/ul><\/li><\/ul>

                          Experience and Qualifications:<\/strong><\/h4>
                          • Education<\/strong>: Bachelor\u2019s or Master\u2019s degree in Computer Science, DevOps, or a related field.<\/li>
                          • Experience<\/strong>: At least 3 years of professional experience in DevOps, with exposure to AI\/ML workflows.<\/li>
                          • Language Skills<\/strong>: Excellent English communication skills; German proficiency is a plus.<\/li>
                          • Collaboration<\/strong>: Proven ability to work in cross-functional and international teams.<\/li>
                          • Problem-Solving<\/strong>: Strong analytical skills and a proactive approach to troubleshooting.<\/li><\/ul>

                            What We Offer<\/strong><\/h4>
                            • Remote Work<\/strong>: Fully remote position.<\/li>
                            • Innovative Projects<\/strong>: Opportunity to work on cutting-edge conversational AI projects.<\/li>
                            • Collaborative Environment<\/strong>: Join a dynamic team that values collaboration and innovation.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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