Senior NLP Software Engineer – Hybrid (Hermosillo)

Placements24; Hermosillo; Hybrid; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Growth opportunities

Hybrid work model

Cutting-edge technology

Paid time off

Retirement savings

Job summary

Placements24 seeks a Senior Software Engineer specialized in NLP to join our Hermosillo team. You will design, build, and deploy scalable NLP solutions that enhance user interactions and extract insights from text data.

You will lead model development, data pipelines, and production integration while collaborating with researchers and engineers in a fast-paced environment. A strong NLP background and hands-on ML experience are essential.

Qualifications

• Requires 5+ years of professional software engineering experience with a focus on NLP.
• Strong programming skills in Python and ML fundamentals.
• Experience deploying NLP models in production environments.

Responsibilities

• Design and implement advanced NLP models for text tasks.
• Build data pipelines for text preprocessing and feature extraction.
• Integrate NLP models into production systems ensuring scalability.
• Collaborate with product managers and engineers to define NLP requirements.
• Stay updated on latest NLP/ML advances and apply them.
• Optimize models for efficiency and accuracy.
• Create technical documentation for NLP systems.
• Mentor junior engineers and participate in code reviews.

Skills

Python

NLP

Machine learning

Communication

Teamwork

Education

Bachelor's or Master's in CS/AI/linguistics

Tools

NLTK

spaCy

Transformers

TensorFlow

PyTorch

Pandas

NumPy

Job description

Placements24 seeks a Senior Software Engineer specialized in NLP to join our Hermosillo team. You will design, build, and deploy scalable NLP solutions that enhance user interactions and extract insights from text data.

You will lead model development, data pipelines, and production integration while collaborating with researchers and engineers in a fast-paced environment. A strong NLP background and hands-on ML experience are essential.