AI Engineer (M/W)
EUR 60K-89K (estimate) Mid-level Full Time
Tasks
- Build AI infrastructure using MLOps best practices
- Build data preprocessing pipelines and feature engineering
- Deploy AI models to production
- Design and develop AI models
- Document AI architectures and deployment procedures
- Ensure security, privacy, and compliance
- Implement model training fine tuning and evaluation
- Implement monitoring and observability for AI systems
- Implement testing and quality assurance processes
- Integrate AI capabilities into existing platforms
- Optimize model performance accuracy reliability
- Orchestrate multi agent systems and autonomous workflows
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Anthropic | Autogen | Azure | Azure OpenAI | CI/CD | ChromaDB | CrewAI | Databricks | Datadog | Docker | Faiss | Fine Tuning | GCP | Hugging Face | Kubernetes | LLM | Langchain | Langfuse | Llamaindex | MLOps | MLflow | Model Evaluation | Model Validation | Observability | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Spark | TensorFlow | Vector Databases | Weaviate | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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