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:
Infrastructure ManagementBuild 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.
CI/CD and AutomationDevelop and manage CI/CD pipelines to automate build, testing, and deployment processes.
Monitor and enhance system reliability, scalability, and performance through proactive automation.
AI/ML Workflow SupportCollaborate 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.
Monitoring and SecuritySet 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.
Collaboration and TroubleshootingWork 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.

Please apply here: https://talents2germany.de/devops-engineer-mlai-knowledge/

• Accmodation: Not Included
• Meals: Not Included
• Sponsorship: Not Available
• 2nd Year Visa: Not Eligible