MLOps | DevOps Engineer Intern

This internship blends DevOps, software engineering, data science, and data engineering to deploy LLM-based data processing and agentic pipelines that deliver demand signals to marketing and sales teams. You will collaborate with ML engineers to build scalable AI models, AI agents, and data processing solutions based on open-source LLMs. Responsibilities include deploying and managing data pipelines and AI solutions in production environments and helping transition solutions from development to production. You will set up and maintain infrastructure for deployment and monitoring of data products and pipelines, ensuring reliability and observability. Essential requirements include pursuing a master’s degree in computer science, engineering, or a related field, strong Python skills, and knowledge of containerization with Docker and Kubernetes. Desirable skills include experience with LLMs, no-code tools (n8n, Flowise), Apache Airflow, and CI/CD platforms (GitHub Actions, GitLab CI, Azure DevOps).

Find here the full details of the responsibilities for this role: daily tasks, projects to lead, goals to achieve and scope of work within the team. Everything you need to picture yourself in the role and know exactly what to expect from day one.

Access the technical and interpersonal skills expected by the recruiter, the required experience level, valued qualifications and personal qualities sought. Check at a glance whether your profile matches this opportunity before applying.

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