Senior Data Scientist

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.