Especialista En Procesamiento De Lenguaje Natural En Aguascalientes

Placements24

Aguascalientes

Hybride

MXN 900 000 - 1 500 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Fully remote
Competitive salary
Health benefits
Flexible schedule

Résumé du poste

Placements24 is seeking a highly skilled NLP Specialist for a fully remote role. You will design, develop, and deploy advanced NLP models to extract meaning and generate human-like text from unstructured data. Join a cutting-edge AI team and contribute from anywhere.

The position requires 3+ years of NLP experience, a strong portfolio, and expertise in Python, NLTK, spaCy, and Hugging Face Transformers. Remote collaboration with global teammates is essential.

Qualifications

  • Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
  • 3+ years of experience in Natural Language Processing with a strong project portfolio.
  • Expertise in programming languages like Python and NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
  • In-depth knowledge of deep learning architectures and their application to NLP problems.
  • Experience with cloud platforms (AWS, Azure, GCP) for model training and deployment.
  • Familiarity with data manipulation libraries (pandas, NumPy).
  • Strong understanding of linguistic concepts and text representation techniques.
  • Excellent problem-solving skills and analytical thinking.
  • Ability to work independently in a fully remote environment.

Responsabilités

  • Develop and implement state-of-the-art NLP models for sentiment analysis, named entity recognition, text summarization, and machine translation.
  • Utilize TensorFlow or PyTorch for building NLP models, including transformers (BERT, GPT).
  • Process and analyze large volumes of unstructured text data, performing cleaning, tokenization, and vectorization.
  • Collaborate with data scientists and engineers to deploy NLP models into production systems and APIs.
  • Research and stay updated on latest NLP techniques and advancements in the field.
  • Design and conduct experiments to evaluate and improve model performance.
  • Contribute to the development of an NLP knowledge base and best practices within the team.
  • Build and maintain robust data pipelines for training and evaluating NLP models.
  • Communicate technical findings and project status to stakeholders.
  • Ensure ethical considerations and bias mitigation are addressed in NLP models.

Connaissances

NLP expertise
Deep learning
Research & analysis
Python

Formation

Master's or PhD in CS/Computational Linguistics/AI

Outils

Python
NLTK
spaCy
Hugging Face Transformers

Description du poste

About the Role

Our client is seeking a highly motivated and skilled Natural Language Processing (NLP) Specialist to join their cutting-edge AI research and development team. This position is offered as a fully remote opportunity, allowing you to contribute your expertise from anywhere. You will be responsible for designing, developing, and deploying advanced NLP models to extract meaning, insights, and generate human-like text from unstructured data. This role involves extensive work with text data, deep learning architectures for NLP, and integrating these capabilities into various applications. If you are passionate about the nuances of language and how AI can interpret and generate it, this role in Aguascalientes offers a unique chance to make a significant impact from a remote setting.


Key Responsibilities


  • Develop and implement state-of-the-art NLP models for tasks such as sentiment analysis, named entity recognition, text summarization, and machine translation.

  • Utilize deep learning frameworks like TensorFlow or PyTorch for building advanced NLP models, including transformers (BERT, GPT).

  • Process and analyze large volumes of unstructured text data, performing tasks like cleaning, tokenization, and vectorization.

  • Collaborate with data scientists and engineers to integrate NLP models into production systems and APIs.

  • Research and stay updated on the latest NLP techniques and advancements in the field.

  • Design and conduct experiments to evaluate and improve model performance.

  • Contribute to the development of an NLP knowledge base and best practices within the team.

  • Build and maintain robust data pipelines for training and evaluating NLP models.

  • Communicate technical findings and project status to both technical and non-technical stakeholders.

  • Ensure ethical considerations and bias mitigation are addressed in NLP models.


Requirements


  • Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.

  • Proven experience (3+ years) in Natural Language Processing, with a strong portfolio of NLP projects.

  • Expertise in programming languages like Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).

  • In-depth knowledge of deep learning architectures and their application to NLP problems.

  • Experience with cloud platforms (AWS, Azure, GCP) for model training and deployment.

  • Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy).

  • Strong understanding of linguistic concepts and text representation techniques.

  • Excellent problem-solving skills and analytical thinking.

  • Ability to work independently and collaboratively in a fully remote environment, managing time effectively.

  • Strong communication skills for technical discussions and reporting.


Benefits

This fully remote position offers a competitive salary, comprehensive health and wellness benefits, and a flexible work schedule. You will have the opportunity to work on challenging and impactful NLP projects, collaborate with a global team of experts, and benefit from continuous learning and professional development opportunities. Our client fosters an environment that values innovation, curiosity, and the ethical application of AI, making this an excellent career move for specialists in Aguascalientes looking for remote work.

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