AI Engineer H/F
Tasks
- Build maintain machine learning pipelines
- Deploy AI microservices
- Design train optimize and deploy machine learning models
- Develop LLM applications
- Implement RAG architectures
- Monitor models in production drift and performance
- Optimize inference latency and GPU performance
Perks/Benefits
- Career development
- Flexible telework
- Meal tickets
- Paid time off
- RTT
- Teambuilding events
- Tech talks and conference participation
- Technical certifications support
- Training budget
Skills/Tech-stack
AWS | Airflow | Azure | Azure DevOps | Batching | CI/CD | Chroma | DVC | Deep learning | Docker | Embeddings | Faiss | FastAPI | Flask | GCP | GPTQ | GPU Optimization | Gguf | GitHub Actions | GitLab | Huggingface | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Milvus | Monitoring | NLP | OCR | Parallel Computing | Parsing HTML | Parsing PDF | Prefect | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | TensorFlow | Transformers | VLLM | Vector Databases | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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