RAG ML Engineer for GenAI & Retrieval Systems

Factored; Ciudad de México; Presencial; MXN 1,099,000 - 1,466,000; Jornada completa

Descripción de la vacante

An innovative AI company in Mexico City is seeking a skilled Machine Learning Engineer to focus on Retrieval-Augmented Generation (RAG) models. This role involves designing and deploying advanced machine learning solutions while collaborating closely with clients to meet project goals. The ideal candidate has extensive experience in NLP, deep learning, and a strong grasp of Python and LLM frameworks.

Servicios

Learning and growth opportunities

Collaborative work environment

Friendly team culture

Formación

• 5+ years of experience developing and deploying machine learning models.
• 4+ years of production NLP and deep learning experience.
• 1+ year of experience with Retrieval-Augmented Generation (RAG).

Responsabilidades

• Design and optimize Retrieval-Augmented Generation (RAG) models.
• Collaborate with client Data and Engineering teams.
• Fine-tune and adapt large language models for specific tasks.

Conocimientos

Experience with RAG models

Proficient in Python

Deep learning frameworks (PyTorch, TensorFlow)

Expertise in large language models (LLMs)

Understanding of cloud platforms (AWS, GCP)

Educación

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics

Descripción del empleo

An innovative AI company in Mexico City is seeking a skilled Machine Learning Engineer to focus on Retrieval-Augmented Generation (RAG) models. This role involves designing and deploying advanced machine learning solutions while collaborating closely with clients to meet project goals. The ideal candidate has extensive experience in NLP, deep learning, and a strong grasp of Python and LLM frameworks.