Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Tasks
- Build and maintain large scale retrieval pipelines
- Build and orchestrate agentic AI systems
- Define and track product aligned metrics
- Deploy ML solutions to production with reliability and observability
- Design and implement AI and ML solutions for search and personalized care pathways
- Develop fine tune and evaluate LLM and VLM models
- Run controlled end to end experiments and communicate results
Perks/Benefits
- Coaching services
- Health insurance
- Learning and training access
- Lunch vouchers
- Mental health support
- Paid vacation
- Public transport reimbursement
- Relocation support
- Work from abroad
Skills/Tech-stack
Agentic AI | Artificial Intelligence | Causal Inference | Causal Models | Deep learning | Dense retrieval | Embeddings | Experimentation | Fine Tuning | Hybrid search | Information Retrieval | Knowledge Distillation | LLM | Machine Learning | Mixture of Experts | Model Evaluation | Model Fine-tuning | Monitoring | Observability | Performance Tuning | Prompt Optimization | Prompt engineering | PyTorch | Python | RAG | Re-ranking | Recommendation Systems | Reliability Engineering | Retrieval Re-ranking | Sparse Retrieval | TensorFlow | VLM | Vector Databases | Vector Search
Education
N/A
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