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Responsibilities:
- Design and implement NLP algorithms to solve complex language processing tasks, such as language correction, text classification, sentiment analysis, entity recognition, and information extraction.
- Develop and maintain Large Language Models (LLM) by training, fine-tuning, and evaluating models on large-scale datasets.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient NLP solutions.
- Optimize and streamline ML workflows by implementing Dev-Ops practices, including version control, continuous integration and deployment (CI/CD), and automated testing.
- Apply best practices in ML engineering to ensure model robustness, scalability, and maintainability.
- Conduct exploratory data analysis, feature engineering, and model selection to improve the performance of NLP and ML models.
- Stay up-to-date with the latest advancements in NLP, LLM, and ML Dev-Ops, and actively contribute to the research community through publications, conferences, and open-source projects.
Qualifications:
- Degree in Computer Science, Artificial Intelligence, or a related field.
- Experience working with various operating systems, including Linux.
- Strong proficiency in developing and maintaining Large Language Models (LLM), including hands-on experience with fine-tuning and deployment.
- Extensive experience in Natural Language Processing (NLP) techniques and frameworks, such as spaCy, NLTK, Transformers (e.g., BERT, GPT), and word embeddings.
- Solid understanding of Machine Learning (ML) concepts and algorithms, such as supervised and unsupervised learning, deep learning, and reinforcement learning.
- Proven experience in ML Dev-Ops, including version control (e.g., Git), containerization (e.g., Docker), cloud deployment (e.g., AWS), and CI/CD pipelines.
- Proficiency in programming languages commonly used in data science and ML, such as Python & C++.
- Familiarity with data structures and classes in order to efficiently organize, manipulate, and represent data during the development of NLP and ML solutions.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Knowledge of Regular Expressions for text processing tasks, such as pattern matching, extraction, and text manipulation.
- Excellent communication skills with the ability to effectively present complex technical concepts to both technical and non-technical stakeholders.
- Experience with distributed computing frameworks (e.g., Apache Spark) and big data processing tools (e.g., Hadoop, Hive) is a plus.
Required Skills
- C++
- Python
Job Details
- Location Amman - Jordan
- Industry Data Science
- Job Type Full-Time
- Experience 3
- Nationality Unspecified
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