Job Search and Career Advice Platform

¡Activa las notificaciones laborales por email!

Senior ML Engineer (Remote) — AWS LLM Pipelines

Qualitest

A distancia

MXN 400,000 - 600,000

Jornada completa

Ayer
Sé de los primeros/as/es en solicitar esta vacante

Genera un currículum adaptado en cuestión de minutos

Consigue la entrevista y gana más. Más información

Descripción de la vacante

A leading AI-powered Quality Engineering Company is looking for a Senior Machine Learning Engineer to work on scalable, production-ready solutions using AWS infrastructure. Responsibilities include deploying LLMs, integrating APIs, and building ML pipelines. Ideal candidates will have advanced Python skills and experience with AWS services. The role offers opportunities for growth and a supportive work culture, emphasizing diversity, flexibility, and professional development.

Servicios

Diversity and inclusion in the workplace
Local and global internal rotation opportunities
Clear career progression
Flexible and casual culture
Access to training courses and mentorship programs
Bonus opportunities through referral programs

Formación

  • Advanced proficiency in Python for ML development.
  • Experience managing scalable compute resources on AWS.
  • Knowledge of LLMs, NLP, and entity extraction technologies.

Responsabilidades

  • Design and implement agentic systems for automated document processing.
  • Deploy and manage open-source LLMs on AWS.
  • Integrate third-party LLM APIs for entity extraction workflows.
  • Build scalable ML pipelines using AWS services.
  • Optimize model performance and cost efficiency.

Conocimientos

Python: Advanced proficiency
AWS EC2 Auto Scaling Groups
AWS S3
AWS Lambda
AWS IAM
Machine Learning: Experience with LLMs, NLP
AWS Agent Core
Production Monitoring tools
Troubleshooting: Debugging production ML pipelines

Herramientas

Docker
Descripción del empleo
A leading AI-powered Quality Engineering Company is looking for a Senior Machine Learning Engineer to work on scalable, production-ready solutions using AWS infrastructure. Responsibilities include deploying LLMs, integrating APIs, and building ML pipelines. Ideal candidates will have advanced Python skills and experience with AWS services. The role offers opportunities for growth and a supportive work culture, emphasizing diversity, flexibility, and professional development.
Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.