MLOps / AI DevOps

Description

Job Summary: We are seeking a passionate MLOps / AI DevOps professional committed to quality, innovation, and developing high-impact products to establish deployment infrastructure and manage LLM models. Key Responsibilities: 1. Establish the AI agent deployment infrastructure 2. Implement observability for LLM models in production 3. Design and build CI/CD pipelines specifically for AI agents We are looking for **MLOps / AI DevOps** professionals who are passionate about quality, innovation, and developing high-impact products. **What will be your challenge?** * Establish the AI agent deployment infrastructure on the corporate platform * (currently under evaluation among Azure OpenAI, AWS Bedrock, or on\-premise) * Implement observability for LLM models in production: latency, cost per token, and output quality * Configure prompt versioning and management in production * Design and build CI/CD pipelines specifically for the AI agent lifecycle within the HDI ecosystem * Document the deployment architecture so that the internal team can operate it autonomously upon project completion **What we are looking for in you:** * Experience with cloud infrastructure (AWS and/or Azure) and AI solution deployment * Knowledge of managing the LLM model lifecycle in production * Experience with containerization and orchestration (Docker / Kubernetes) * Ability to build CI/CD pipelines for models or AI agents **DESIRABLE** * Experience deploying LLMs in on\-premise or private environments * Knowledge of security applied to AI APIs in regulated environments * Experience in technical documentation focused on operational handover **EXPECTED FAMILIARITY** GitHub/ Jenkins/ Dynatrace /Dependabot/ GitHub Copilot