ISemantics, An AI Company Focusing On Natural Language Processing,
We're seeking an experienced Mid-Level NLP Developer to join our innovative technology team.
The ideal candidate will have in-depth knowledge of Natural Language Processing (NLP), Machine Learning (ML), and computer software engineering, preferably with Python.
Responsibilities:
- Design, develop, and deploy NLP models for various text processing tasks such as knowledge extractions, summarization, and entity recognition.
- Build and fine-tune Retrieval-Augmented Generation (RAG) models to enhance content generation and question-answering systems.
- Integrate and optimize large language models (LLMs) for efficient performance in production environments.
- Collaborate with clients and deliver NLP-based solutions that drive business objectives.
- Research and apply the latest advancements in NLP and RAG, keeping up with cutting-edge techniques.
- Implement scalable and robust pipelines for data preprocessing, training, and inference.
- Deal with data to ensure clean and efficient data pipelines for NLP models.
- Document and present research findings, technical solutions, and best practices to stakeholders.
Required Skills:
- Bachelor's or master's degree in computer science, Data Science, AI, or a related field.
- 3+ years of experience in machine learning, with a strong focus on NLP and RAG techniques.
- Hands-on experience with popular NLP frameworks such as Hugging Face Transformers, spaCy, or NLTK.
- Proficiency in Python and experience with machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience building and deploying RAG models and working with large-scale language models.
- Solid understanding of neural networks, deep learning architectures, and retrieval systems.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying machine learning models.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Knowledge of MLOps practices for model deployment and monitoring.
Preferred Skills:
- Familiarity with reinforcement learning or conversational AI systems.
- Experience in fine-tuning LLMs and customizing them for specific use cases.
Working Conditions :
- Hybrid.
- Working days: Sunday - Thursday.
- Days Off: Friday- Saturday.
- Location: Downtown - Cairo.
- Package: Attractive Salary + Social Insurance.
