AI/ML Platform Engineer

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🕒 March 27

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GUS Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1980

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

GUS Group is a German software group that develops integrated ERP and business-process solutions for mid-market (primarily DACH-region) companies, focusing on process industries, supply chain optimization and regulatory-compliant operations. Its product portfolio includes the GUS-OS Suite (workflow-based ERP), sales management (GUS AIS), dairy industry systems (Sopra EVS and EIS), and warehousing/commerce solutions (WinAB). The company emphasizes compliance (GAMP 5, REACH), traceability, finance & accounting, and workflow automation to support digital transformation and secure, scalable growth.

📋 Description

• Build and further develop our AI/ML layer within the cloud platform • Integrate LLMs and machine learning services into our business applications • Develop APIs and microservices for AI functionality • Build and operate MLOps pipelines for training, deployment and monitoring of models • Implement RAG architectures, embeddings, and vector search • Integrate external AI services and models • Ensure scalability, performance and security of AI services • Collaborate with software, platform and data teams • Evaluate new AI technologies, frameworks and tools

🎯 Requirements

• Degree in computer science, software engineering, data science or equivalent qualification • Several years of experience in software or platform development • Strong proficiency in Python • Experience with APIs, microservices and cloud architectures • Experience with machine learning or large language models • Experience with container technologies (Docker) and Kubernetes • Knowledge of CI/CD and Infrastructure as Code • Analytical working style and interest in modern AI technologies • Nice to have: experience with LLM frameworks (e.g., LangChain, LlamaIndex) • Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) • Experience with cloud platforms (AWS, Azure or GCP) • Experience with MLOps tools and model serving • Experience with AI-based automation of business processes

🏖️ Benefits

• 30 days annual leave • Flexible working hours with the option to work remotely • Discounts via Corporate Benefits • Subsidies for sports activities via Urban Sports Club • Option to lease a company bike (JobRad)