Signaturit Group

www.signaturit.com

1 Job

226 Employees

About the Company

Signaturit Group is a European Trust partner to build end-to-end secure digital transactions. We provide a modular platform to organizations, eager to balance business acceleration and emerging digital risks. From digital identity management to KYC, up to electronic signatures and legal preservation, we build complete, smooth customers’ digital onboarding and manage more than 160 million transactional journeys.  

Thanks to AI-powered technologies, we automate manual workloads, to increase security, improve operational efficiency and minimize risks. Signaturit Group is formed by Ivnosys, Signaturit, Universign and Vialink entities, bringing together decades of expertises in digital transformation and solutions made for business.

Listed Jobs

Company Name: Signaturit Group
Job Title: Intern - DevOps/ MLOps
Job Description: Job Title: Intern – DevOps/MLOps Role Summary: Final‑year Master’s student will support and enhance the CI/CD pipeline for the KYC/MLOps platform, focusing on automation, reliability, and tool integration. Expectations: Deliver actionable improvements to the development workflow, maintain pipeline documentation, and collaborate cross‑functionally with backend, ML, and security teams. Key Responsibilities: - Evaluate and debug current Jenkins/Kubernetes CI/CD processes for KYC services. - Propose and implement tooling enhancements (e.g., Docker, Helm charts, automated testing). - Integrate OCR and ML model deployment steps into the pipeline. - Write and maintain pipeline scripts, Dockerfiles, and Kubernetes manifests. - Monitor pipeline performance, troubleshoot failures, and recommend scalability solutions. - Contribute to documentation, coding standards, and knowledge‑sharing sessions. - Participate in code reviews and assist with unit/integration tests. Required Skills: - Proficient in Python; fundamental understanding of C/C++ is a plus. - Hands‑on experience with CI/CD tools (Jenkins, GitLab CI, Azure Pipelines). - Knowledge of containerization (Docker) and orchestration (Kubernetes). - Basic machine‑learning concepts; familiarity with OCR workflows. - Comfortable with Linux shell scripting, Git, and API integration. - Strong analytical, problem‑solving, and communication abilities. Required Education & Certifications: - Final year of Master’s degree (M2) or equivalent in Software Engineering, Computer Science, or related field. - Coursework or project experience in DevOps, CI/CD, or machine‑learning operations.