Accompany the process with creative workshops, develop proof-of-concepts, and implement solutions together.
Work with AI/ML technologies including Supervised Learning, GenAI, Agentic AI, and Model Context Protocol (MCP).
Work with RAG architectures, primarily in the Azure Cloud, but also in other environments or with Open-Weights models.
Build solutions based on the Python ecosystem, including ML frameworks, GenAI toolkits, and backend frameworks.
Realize MLOps and deployment with Terraform, Docker, Kubernetes, MLflow, and Azure ML.
Conduct initial workshops with clients ("AI-Kickstart" format), data exploration, and implementation of scalable AI/ML or software solutions.
Work in internal project teams and on-site with clients.
Anforderungen
Several years of experience (at least 5 years) in the development of AI/ML applications and/or software development of modern applications.
A completed Master's degree in Computer Science, Data Science, or a related field.
Very good knowledge in Python and relevant AI/ML frameworks (e.g., PyTorch, scikit-learn) as well as experience with modern backend stacks (e.g., FastAPI).
Fundamental know-how in software development, architectures, and technologies: Java and/or .Net, modern Web UIs (Angular, React, Vue.js), databases (PostgreSQL, MS SQL, MongoDB, Redis), best practices (DDD, Agile, Cloud-native, TDD...).
Experience with cloud services, specifically regarding ML/AI services (preferably on Azure).
Practical experience in building AI architectures – from classic ML pipelines to complex GenAI solutions like RAG, Agentic Workflows, or the Model Context Protocol (MCP).
Knowledge of embeddings, Transformer architectures, and prompt engineering.
Strong software engineering skills: ability to write clean, maintainable code – Clean Code is second nature to you.
Experience with MLOps, deployment, and infrastructure – e.g., Docker, Kubernetes, Terraform, MLflow, Azure ML.
Experience in working with CI/CD pipelines and GitOps workflows.
Experience and know-how in dealing with Agentic Coding Tools like Claude Code.
Secure handling of SQL and NoSQL databases and common storage solutions.
German and English secure in speech and writing.
Von Vorteil
Experience with modern AI-assisted development tools like Claude Code, Cursor, GitHub Copilot or similar.
Was das Unternehmen bietet
Expand and improve existing products like the Digital Banking Suite and the Security Suite or develop new, innovative solutions for diverse clients from the banking, retail, or government sectors.
A collegial atmosphere and a workplace culture where competence comes before hierarchy.
Quelle: öffentlich zugängliche Karriereseite des Arbeitgebers. Batchly ist nicht der Arbeitgeber und steht nicht notwendigerweise in einem Vertragsverhältnis mit dem Unternehmen.