Inżynier LLM (Large Language Models)
Tasks
- Apply AI and LLM best practices in regulated environments
- Build data pipelines for dataset curation preprocessing and augmentation
- Build scalable training and inference pipelines with distributed computing
- Collaborate with data engineering teams on data infrastructure
- Develop and deploy machine learning and deep learning models
- Ensure models are robust reproducible and production ready
- Evaluate and optimize LLMs
- Improve model performance with prompt engineering and instruction tuning
- Integrate LLM models into business workflows
- Train and fine-tune LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | Backend Development | Benchmarking | CI/CD | Cloud Computing | Code review | Data Pipelines | Deep learning | Distributed Training | Embeddings | Fine Tuning | Function Calling | Hugging Face | Instruction Tuning | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval | Retrieval-Augmented Generation | Testing | Transformers | Vector Databases | Weights and Biases
Education
N/A
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