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 stateoftheart 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 crossfunctional 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 transformerbased 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 problemsolving and analytical skills with a passion for innovative solutions.
- Excellent verbal and written communication skills.
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