Senior Data Engineer
ENERCON
AirflowAzureCloudDockerJavaKafkaKubernetesLinuxPythonShell ScriptingSparkSQL
Intern - Large Language Models (LLMs), AI Agents, Data Engineering
Volkswagen Group
internship
Posted on:
Location Type: Remote
Location: Remote • 🇩🇪 Germany
Visit company websiteSalary
💰 €18 per hour
Job Level
Entry Level
Tech Stack
AzureCloudDockerKubernetesPythonPyTorchScikit-LearnTensorflow
About the role
- Design, develop, and optimize data pipelines and AI workflows for efficient delivery of vehicle and sensor data
- Build and experiment with LLMs, AI agents, and chain-based systems for data analysis, automation, and intelligent decision-making
- Develop and refine machine learning models for pattern recognition, anomaly detection, and predictive analytics
- Collaborate with the engineering team to deploy AI models and agent systems into production, managing the full end-to-end process
- Contribute to shaping our AI and LLM roadmap, identifying opportunities to apply advanced AI technologies to real-world automotive challenges
- Conduct research, run experiments, and present your results to your supervisor and project stakeholders
Requirements
- Currently enrolled in a Master’s program or in the final stages of your Bachelor’s degree in Computer Science, Data Science, AI, or a related field
- Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), including hands-on work with LLMs or deep learning
- Familiarity with AI frameworks and libraries for agent-based development (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI APIs)
- Experience or strong interest in data engineering and cloud technologies (Databricks experience is a big plus)
- Understanding of container technologies (Docker, Kubernetes) and CI/CD pipelines for AI deployment (Azure preferred)
- Analytical mindset, curiosity for solving real-world problems with AI, and excellent communication skills
Benefits
- Remote work options within Germany
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningpattern recognitionanomaly detectionpredictive analyticsdata pipelinesAI workflowsLLMsdeep learningdata engineering
Soft skills
analytical mindsetcuriosityproblem-solvingcommunication
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