R&D Engineer – AI Integration (m/f/d)
Tasks
- Analyze semiconductor testing data
- Analyze user feedback
- Assess hallucination metrics
- Containerize ML workloads
- Curate training datasets
- Deploy LLM applications
- Deploy models to cloud
- Design RAG pipelines
- Develop Eclipse plugins
- Evaluate LLM correctness
- Fine-tune open-source LLMs
- Generate synthetic data
- Implement AI pipelines
- Implement MLOps workflows
- Implement data versioning and reproducible training
- Integrate LLM tools into testing workflows
- Measure LLM latency
- Preprocess datasets
- Visualize testing results
- Write maintainable, testable code
Perks/Benefits
Skills/Tech-stack
AWS | Azure | C++ | DVC | Data Visualization | Docker | Eclipse | Git | Hugging Face | Java | Jupyter | Language Models | Language Processing | Large Language Models | Linux | LoRA | MLOps | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | QLoRA | RAG | Retrieval-Augmented Generation | Scikit-learn | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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