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Senior Data Scientist - NLP & LLM Specialist

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

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
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Leute Passen India
51 - 200 Employees
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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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Skills
  • Motivational Skills
  • Verbal Communication Skills

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