Lead AI/ML Engineer: Build Production-Grade LLM Solutions

EY

Ciudad de México

Sur place

MXN 1 200 000 - 2 000 000

Plein temps

Il y a 46 heures
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Résumé du poste

EY is seeking a senior AI/ML engineer to lead the delivery of AI/ML solution or infrastructure development for large-scale projects, owning design, development, delivery and maintenance while aligning with business requirements and standards.

You will collaborate with Development, Engineering and Architecture teams, provide leadership to ensure effective delivery, and drive CI/CD practices using GitHub or ADO. Kubernetes and Docker experience is highly preferred.

Qualifications

  • 10+ years of applied AI/ML engineering experience.
  • Bachelor's degree preferred.
  • Strong knowledge of LLMs and prompt engineering.
  • Experience delivering AI engineering solutions.

Responsabilités

  • Solves complex and escalated aspects of a project, performing coding, debugging, testing and troubleshooting.
  • Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions and emerging technologies.
  • Develops strong working relationships across Development, Engineering and Architecture teams.
  • Provides leadership ensuring expectations, structures and tools are in place to deliver the project.
  • Drives consistency to processes, procedures, standards and technical design.

Connaissances

Advanced AI/ML engineering
Python
C#
R
LLMs
Prompt engineering
Agentic systems
Evaluation frameworks
NLP similarity/search
A/B testing

Formation

Bachelor's degree preferred

Outils

Kubernetes
Docker
GitHub
ADO

Description du poste

EY is seeking a senior AI/ML engineer to lead the delivery of AI/ML solution or infrastructure development for large-scale projects, owning design, development, delivery and maintenance while aligning with business requirements and standards.

You will collaborate with Development, Engineering and Architecture teams, provide leadership to ensure effective delivery, and drive CI/CD practices using GitHub or ADO. Kubernetes and Docker experience is highly preferred.

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