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Senior Data Scientist - NLP & LLM Specialist

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

Minimum 5 years experience in NLP, Expertise in GPT, BERT, transformers, Strong knowledge of machine learning frameworks, Proficiency in Python and NLP libraries, Familiarity with cloud platforms for deployment.

Key responsabilities:

Develop and implement advanced NLP models
Improve language model performance using deep learning
Collaborate with teams to integrate NLP models
Enhance existing models for accuracy and scalability
Stay updated on NLP and LLM advancements

Leute Passen India

51 - 200 Employees

See more Leute Passen India offers

Job description

Experience: Minimum 5 years

Availability: Immediate/30 days

Salary: Negotiable

Key Factor: Excellent Communication Skills

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.