ML Engineer: Generative AI & Production Pipelines (Remote, Mexico)

Capgemini; Aguascalientes; Remote; MXN 900,000 - 1,300,000; Full time

Job summary

Capgemini Mexico is seeking an experienced ML engineer to build and deploy production-grade ML solutions that drive forecasting, scoring and AI-driven business outcomes. You will leverage Python, SQL, PySpark and cloud platforms to deliver scalable data workflows and transparent model explanations.

You will design Generative AI applications, including RAG, vector search and AI agents, collaborating with Data Engineering and Analytics teams to move models from experimentation to production with

Qualifications

• 5+ years of ML development experience in production systems.
• Strong Python/SQL/PySpark skills for large-scale datasets.
• Hands-on experience with XGBoost or LightGBM in production environments.

Responsibilities

• Build and deploy ML solutions that impact business outcomes (forecasting, scoring, propensity).
• Develop scalable ML pipelines and production workflows on cloud platforms.
• Design, train, optimize, and explain models using XGBoost/LightGBM; ensure transparency for stakeholders.
• Develop Generative AI solutions (RAG, vector search, AI agents) and support high-volume LLM workloads.

Skills

5+ years ML development

Python

SQL

PySpark

XGBoost/LightGBM

Generative AI (RAG, vector search, AI)

Azure/Databricks

English proficiency

Tools

Azure

Databricks

Job description

Capgemini Mexico is seeking an experienced ML engineer to build and deploy production-grade ML solutions that drive forecasting, scoring and AI-driven business outcomes. You will leverage Python, SQL, PySpark and cloud platforms to deliver scalable data workflows and transparent model explanations.

You will design Generative AI applications, including RAG, vector search and AI agents, collaborating with Data Engineering and Analytics teams to move models from experimentation to production with