The posting
• Assist in the design, development, and training of local LLM and deep learning
models.
• Preprocess and clean large datasets to make them suitable for training.
• Write clean, efficient, and well-documented code in Python (e.g., using libraries like
TensorFlow, Tesseract/Paddle OCR, scikit-learn).
• Help integrate trained models into production applications and services (e.g., using
APIs, Docker, cloud services).
• Participate in model validation, performance testing, and fine-tuning.
• Monitor the performance of deployed models and assist in troubleshooting issues.
• Collaborate with data engineers, software developers, and product managers.
• Stay updated with the latest trends and technologies in AI/ML.



