Senior Machine Learning Engineer
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- LLM & NLP Pipelines
- Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g. standards, building codes) and extract structured rules.
- Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines.
- Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data.
- Optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining.
Що очікуємо
- 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments.
- Expert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy).
- Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, LangChain).
- Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow).
- Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data.
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