Machine Learning Engineer – m/f/d

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

RockstarDevelopers GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

🏢 Enterprise

🤖 Artificial Intelligence

🤝 B2B

Enterprise • Artificial Intelligence • B2B

RockstarDevelopers GmbH is a German software engineering and consulting firm that builds enterprise‑grade web, AI and Web3 solutions for large B2B clients. They provide end‑to‑end services including frontend, full‑stack and mobile development, AI application development (OpenAI Enterprise, LangChain, vector DBs), Web3 projects, and technical consulting around architecture, microservices, migrations and process optimization. The company focuses on digital transformation and modernization for enterprise customers, partnering with well‑known brands to deliver scalable, production‑ready systems and strategic digital roadmaps.

📋 Description

• Build LLM-based applications. • Develop conversational systems and semantic search and integrate them into the domain-specific applications of the industry solution. • Set up and maintain RAG (Retrieval-Augmented Generation) systems. • Including knowledge-base management: indexing, updates, and clean, source-separated storage of structured and unstructured content. • Operation and monitoring. • MLOps in production: observability, structured logging, and error analysis. • Ensure systems run reliably in production, not just that they worked once. • Deploy agents into production. • From development through integration and connection to portal systems to stable delivery. • Improve solutions based on data. • Use monitoring data, tests, and user feedback to iteratively improve solutions. • Experiment with new approaches. • Identify new AI use cases, prototype them, and build data pipelines from preprocessing and model development to production.

🎯 Requirements

• At least 3 years of professional experience as a Machine Learning Engineer in the design, development, implementation, and optimization of scalable ML solutions. • At least 2 years of experience working in agile development teams. • German language proficiency at least at C1 level (spoken and written), demonstrable by a language certificate or as a native speaker. • Completed degree in Computer Science, Business Informatics, or a comparable qualification, verifiable by certificate or self-declaration. • Vector search and semantic indexing in vector databases, ideally Milvus. • Backend development with Python, preferably FastAPI. • LLM orchestration with LangChain or LangGraph. • Operation of production-grade AI systems: monitoring (ideally Grafana), structured logging, error analysis, deployment. • Privacy-compliant AI design, especially when handling personal data in logging and observability. • GenAI in use for many users, ideally in a multi-tenant environment. • Kubernetes, ArgoCD, Jenkins. • Experience with agile delivery structures, ideally SAFe. • Experience from projects in the public administration sector.

🏖️ Benefits

• Real production projects. • AI that goes into operation at customer sites. • Not an innovation lab — real deployments, not just slide decks. • Remote-first within the DACH region. • Occasional on-site presence; otherwise work from wherever you are most productive. • Modern AI stack. • RAG, agents, vector search, MLOps. • Current stack, no legacy baggage. • Internal upskilling. • We invest in your AI skills. • MacBook provided, unless the client supplies their own hardware. • Flat hierarchies. • Founders are your direct contacts. • A team that knows each other, even when working remotely.