Remote NLP ML Engineer - Transformers & LLMs

BairesDev; Mexico; On-site; PHP 7,299,000 - 10,949,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary in USD/local

Home office setup

Flexible hours

Parental leave & holidays

Global talent environment

Mentorship & growth opportunities

Job summary

BairesDev is hiring a ML Engineer (NLP) to design and implement advanced NLP systems, focusing on models that understand and generate human language. The role emphasizes production-ready pipelines, high accuracy, and scalable solutions from a global remote team.

The candidate will work with Python, PyTorch or TensorFlow, and cutting-edge transformers (BERT, T5, GPT). English proficiency is essential, with collaboration across data teams on language understanding projects.

Qualifications

• 4+ years of experience in Machine Learning with a strong focus on NLP.
• Proven ability to develop and deploy NLP models using modern frameworks.
• Experience with language representations and transformer architectures.

Responsibilities

• Design and develop scalable NLP systems using architectures like BERT, T5, and the GPT family.
• Implement and optimize text processing techniques, including tokenization and high-dimensional embeddings.
• Build and fine-tune models for text classification, sentiment analysis, and named entity recognition.
• Integrate transformer models and LLMs into production-ready pipelines.
• Clean and preprocess raw text data to ensure high-quality training sets for deep learning frameworks.
• Collaborate with data teams to architect language understanding solutions that meet performance requirements.

Skills

NLP modelling

English communication

Problem solving

Tools

Python

PyTorch

TensorFlow

Hugging Face Transformers

Job description

BairesDev is hiring a ML Engineer (NLP) to design and implement advanced NLP systems, focusing on models that understand and generate human language. The role emphasizes production-ready pipelines, high accuracy, and scalable solutions from a global remote team.

The candidate will work with Python, PyTorch or TensorFlow, and cutting-edge transformers (BERT, T5, GPT). English proficiency is essential, with collaboration across data teams on language understanding projects.