Internship - AI/ML Engineering (m/f/x) in Berlin, Deutschland
Scalable GmbH
Berlin, Deutschland
Job Description
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs.
Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency.
Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines.
Document your findings in our internal knowledge base
Contribute to the development, improvement, and automation of our machine learning and data pipelines
Gain experience in industry critical infrastructure technologies and apply them productively
Qualifications
Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)
Currently pursuing a Bachelor’s or Master’s degree.
First experiences with Cloud Infrastructure (AWS)
Hands on experience in Python Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)
First-hand experience with creating LLM-powered applications, AI agents, tool use, and multi-step reasoning workflows. (e.g. Chatbots, information retrieval, document summarization)
Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
Curiosity and enthusiasm to learn new technologies and build reliable AI systems.
Result-oriented and pragmatic way of working
Fluency in English (written & spoken)
Please also provide us with your latest transcript of records and if applicable your work references
Nice to have:
Experience with AI Agent or RAG Evaluation Systems (e.g. LLM-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation).
Good understanding of software engineering principles, including API development, code versioning, and testing frameworks (e.g. Pytest, FastAPI, etc.)
Familiarity with end-to-end ML projects
Experience with Infrastructure as Code (IaC) like terraform is a plus
Experience with CI/CD frameworks (e.g. Jenkins, Gitlab CI/CD) is a plus
Additional Information
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
All internships are worth the same with us: we also remunerate mandatory internships
Learn and grow by joining our in-house knowledge sharing sessions
Work productively with the latest hardware and tools
... households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. Your Tasks - You will maintain and continuously improve recurring reports, providing management with clear daily and weekly updates on key developments - You will conduct advanced data ...
... RAG Pipelines, Eval Frameworks, Guardrails and Production Deployment – you set the patterns and quality standards against which the team builds. - Driving our AI-first engineering culture forward is central: Claude Code, AI-powered development and subagents are part of your daily toolkit, and you further develop our internal ...
... Research Associate (f/m/d) Research focus: AI in the context of holistic turbine design, HAP2 The main focus of your work lies in the industrial research of Main Work Package HAP2 – AI in the context of holistic turbine design. You investigate original methods of Machine Learning (ML) and Artificial Intelli-gence (AI) ...
... auch für Daten faszinierte ein Quereinsteiger Praktika an. Deine Aufgaben - Unterstützung unseres Teams bei der Entwicklung und Umsetzung von internen Data & AI Engineering Projekten (Datenextraktion, Data Staging, Reporting) - Mithilfe bei der Anbindung und Analyse von Datenquellen an unser Data Platform (Data Vault 2) ...
... product expertise, a product-oriented mindset, and the ambition to take ownership of a new business venture. - At least 7 years of experience in software engineering, with substantial exposure to AI/ML or data-driven products. - Demonstrated experience deploying software, machine learning models, or data products into ...
... reliability, and infrastructure strategy. This is a platform and infrastructure engineering role, not an ML research or applied science position. You will not train or fine-tune models, build feature pipelines, or work as a prompt engineer. We also don’t expect you to have worked with every AWS AI service listed below — strong ...
Bewirb dich jetzt auf die Stetelle Werkstudent AI Engineering (m/w/d) inOsnabrück. Wir bauen etwas Neues auf - und genau dafür brauchen wir Dich. Als Tochtergesellschaft der pco verbindet aplaion technologische Innovation mit wirtschaftlicher Sicherheit und gehört zu einem der etabliertesten Familienunternehmen der Region. ...
... improve how we work and serve our clients. As a Working Student in AI & Tech Engineering, you'll join a small, hands-on team, take real ownership, and help bring AI products from first idea to successful go-live. WHAT YOU DO Build and evaluate AI solutions, especially in NLP and generative AI. Own projects end-to-end - from ...
... Rolls-Royce Dtl. Research Associate (f/m/d) Research focus: AI-based design of engine architecture, HAP5 The focus of your work lies in the industrial research: AI-based design of engine architecture. You investi-gate efficient and physics-informed ML/AI strategies for the preliminary design of engine concepts, in particular ...
... integrations - Familiarity with databases (SQL or NoSQL) - Exposure to cloud platforms (AWS, Azure, or GCP) Applied AI (Foundational) - Basic understanding of AI / ML concepts - Exposure to LLM‑based applications or AI tools through coursework, projects, or internships - Willingness to learn applied AI implementation patterns ...