Ingeniero de Machine Learning (Procesamiento del Lenguaje Natural) - Remoto

Placements24

Hermosillo

Hybride

MXN 1 865 000 - 2 798 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Home office stipend
Flexible hours
Professional development

Résumé du poste

Placements24 is seeking an Ingeniero de Machine Learning with NLP expertise to join a globally distributed, remote-first team. You will develop and deploy NLP models (sentiment, classification, NER, QA, translation) using Transformer-based methods and oversee data processing, evaluation, and integration with APIs.

The role emphasizes remote collaboration, deep learning proficiency (PyTorch/TensorFlow), and cloud/MLOps experience to deliver impactful language solutions across products.

Qualifications

  • Master's or Ph.D. in CS, computational linguistics, or a related field.
  • 3+ years of experience developing and deploying NLP models in production.
  • Strong Python and NLP library experience (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Proficiency with deep learning frameworks (PyTorch or TensorFlow).
  • Cloud platforms (AWS, Azure, GCP) and MLOps experience.

Responsabilités

  • Develop, train, and fine-tune NLP models for sentiment analysis, text classification, NER, QA, and MT.
  • Implement and optimize Transformer-based architectures (BERT, GPT) and other state-of-the-art NLP techniques.
  • Process and clean large volumes of text data, including augmentation and feature engineering.
  • Collaborate with software engineers to integrate NLP models into production APIs and applications.
  • Evaluate model performance using appropriate metrics and conduct A/B testing.
  • Stay current with NLP and ML research and developments.
  • Contribute to scalable NLP pipeline design and architecture.
  • Work effectively in a remote, asynchronous collaboration environment.

Connaissances

Python
NLP
Hugging Face Transformers
spaCy
PyTorch
TensorFlow
Cloud platforms
MLOps
Remote collaboration

Formation

Master's or Ph.D. in Computer Science, Computational Linguistics, or related field

Outils

Hugging Face Transformers
spaCy
NLTK

Description du poste

About the Role

Our client is seeking a talented and motivated Ingeniero de Machine Learning with expertise in Procesamiento del Lenguaje Natural (PLN) to join their globally distributed, remote-first team. This role is focused on developing and deploying sophisticated NLP models that enhance user experience and unlock insights from text data. You will be instrumental in building systems that understand, interpret, and generate human language, impacting a wide range of products and services. The ideal candidate possesses a strong foundation in machine learning algorithms, deep learning architectures for NLP (e.g., Transformers, LSTMs), and practical experience with relevant libraries and frameworks. This is a fully remote position, offering maximum flexibility and the opportunity to collaborate with a diverse and talented international team. We are looking for an individual who is passionate about the nuances of language and driven to create intelligent language-based AI solutions. Your contributions will directly shape how our users interact with our technology and how we leverage textual information for strategic advantage. This role is perfect for someone thriving in a remote-first, collaborative environment, looking to make a significant impact from their home office.

Key Responsibilities
  • Develop, train, and fine-tune NLP models for tasks such as sentiment analysis, text classification, named entity recognition, question answering, and machine translation.
  • Implement and optimize Transformer-based architectures (e.g., BERT, GPT) and other state-of-the-art NLP techniques.
  • Process and clean large volumes of text data, including data augmentation and feature engineering.
  • Collaborate with software engineers to integrate NLP models into production APIs and applications.
  • Evaluate model performance using appropriate metrics and conduct A/B testing.
  • Stay current with the latest research and developments in NLP and machine learning.
  • Contribute to the design and architecture of scalable NLP pipelines.
  • Work effectively in a remote, asynchronous collaboration environment.
Requirements
  • Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
  • 3+ years of experience in developing and deploying NLP models in a production setting.
  • Strong programming skills in Python and familiarity with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Proficiency with deep learning frameworks (PyTorch or TensorFlow).
  • Solid understanding of linguistics, text representation techniques (e.g., word embeddings), and language modeling.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
  • Excellent problem-solving skills and a research-oriented mindset.
  • Strong communication skills for remote collaboration.
Benefits

Our client offers a competitive salary, comprehensive remote work benefits including home office stipends, flexible working hours, and opportunities for continuous professional development. As a fully remote position, you gain unparalleled flexibility and work-life balance. You will be part of an innovative and global team, contributing to impactful projects. Benefits include performance bonuses, access to online learning resources, and potential participation in virtual conferences. We foster a culture of open communication and collaboration, ensuring all team members feel connected and valued, regardless of their location. This role is ideal for a self-motivated professional seeking to advance their career in NLP within a supportive remote setting.

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