Overview:

We are seeking a talented DevOps Engineer with ML/AI Knowledge 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.

Key Responsibilities:

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

Required Technical Skills:

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

Experience and Qualifications:

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

What We Offer

• Remote Work: Fully remote position.
• Innovative Projects: Opportunity to work on cutting-edge conversational AI projects.
• Collaborative Environment: Join a dynamic team that values collaboration and innovation.