NLP/ML Engineer (M/F)

Posted 22 days agoViewed

Requirements:

Strong expertise in Python programming (including Object-Oriented Programming best practices).

Proficiency with common Machine Learning and NLP libraries (e.g., NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow, Hugging Face Transformers, SpaCy).

Solid understanding of core Machine Learning concepts (supervised & unsupervised learning, deep learning principles).

Experience implementing, training, fine-tuning, and evaluating NLP models and Large Language Models (e.g., GPT-based models, BERT, sequence-to-sequence models). Understanding of techniques like prompt engineering or RAG is beneficial.

Good grasp of data processing and feature engineering techniques tailored for textual data.

Fundamental statistical knowledge for result interpretation and model evaluation.

Responsibilities:

Design, implement, and refine algorithms and models to process, understand, and generate human language from large datasets.

Prepare, clean, and structure complex textual data; engineer relevant features to optimize model performance for specific NLP tasks.

Leverage, adapt, and fine-tune state-of-the-art machine learning models, with a strong emphasis on Large Language Model (LLM) applications.

Utilize, test, and benchmark relevant frameworks, libraries, and tools (e.g., Hugging Face, PyTorch/TensorFlow, SpaCy) for NLP and ML tasks. Identify and experiment with novel approaches.

Build prototypes, conduct evaluations, and rigorously assess the effectiveness and suitability of developed solutions.

Document methodologies, findings, and technical specifications. Present results and insights to technical and non-technical stakeholders.

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