Location
Jordan | India
Job description
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
• Linux
• Python
• C++
Desired Candidate Profile
Education: Bachelor of Science(Computers)
Gender: nm
Nationality: Any Nationality
Job tags
Salary
