Data Scientist
4 weeks ago
Work mode : Remote.
Experience : Minimum 5 years.
Job Description :
We are seeking an experienced Senior Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our team. The ideal candidate will have a strong background in Machine Learning and Deep Learning and be adept at applying advanced techniques to analyze, interpret, and generate human language.
Key Responsibilities :
- Develop and implement advanced NLP models using state-of-the-art algorithms like GPT, BERT, and transformer architectures.
- Apply deep learning techniques (transformers, RNNs, attention mechanisms) to improve the performance of language models.
Work on a variety of tasks, including :
- Text classification.
- Conversational AI.
- Document summarization.
- Sentiment analysis.
- Speech recognition.
- Collaborate with cross-functional teams to integrate NLP models into larger systems.
- Continuously enhance existing models to optimize accuracy, efficiency, and scalability.
- Stay updated on the latest research and advancements in NLP and LLM technologies.
Required Skills :
- Expertise in NLP and LLMs, with practical experience in GPT, BERT, and other transformer-based models.
- Strong knowledge of machine learning and deep learning frameworks, such as TensorFlow, PyTorch, and Keras.
- Proficiency in programming languages such as Python, and libraries like NLTK, spaCy, and Hugging Face.
- Experience with text data preprocessing, feature extraction, and model evaluation.
- Ability to work on various NLP tasks including language modeling, entity recognition, and language translation.
- Familiarity with tools and platforms such as AWS, GCP, or Azure for deploying models.
Preferred Qualifications :
- Proven track record of building and deploying NLP models in production.
- Strong problem-solving and analytical skills with a passion for innovative solutions.
- Excellent verbal and written communication skills.
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