7 publicaciones de empleo destacadas de machine learning en xochitenco méx. (¡Están contratando!)

Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
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Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
9d
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
7d

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Mondelēz International —Tlalnepantla, Méx.
Comfort working with digital tools and data platforms. Analytical rigor to interpret sensory and consumer data and reach clear, actionable conclusions.
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Data Scientist Associate – GenAI, Automatización y Analítica Avanzada(Ciudad de México, Cuauhtémoc)
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5*-Implementar y configurar flujos de trabajo eficientes utilizando plataformas de GenAI para agilizar y facilitar tareas a equipos no técnicos.

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Senior AI Engineer

Ingersoll Rand -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Microsoft Excel
Derecho
Informática
Maestría
Experiencia en bases de datos
SQL
Licenciatura
Desarrollo de software
Experiencia en manufactura
Python
Ciencia de los datos

Descripción completa del empleo

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Role Summary

Design and deliver Generative AI and data products that power AI assistants for sales and technical support teams across Ingersoll Rand. This role focuses on applied AI engineering and LLM‑based systems built on Snowflake, Cortex AI, Vertex AI, and cloud‑native platforms.

You will partner with engineering and business teams to transform AI prototypes into reliable, production‑ready solutions, owning delivery with a strong technical foundation and product mindset.

The Core Challenge

Ingersoll Rand is expanding the use of Generative AI to enhance sales and technical support workflows. While LLMs enable rapid experimentation, delivering trusted, governed AI solutions at enterprise scale requires disciplined engineering.

This role bridges experimentation and production by building AI systems that integrate seamlessly with enterprise data, analytics, and operational platforms.

Key Responsibilities

Generative AI & AI Assistant Development

Design and deploy LLM‑powered AI assistants for sales and technical support use cases
Implement retrieval‑augmented generation (RAG) using embeddings, vector search, and enterprise data
Develop Generative AI solutions using Snowflake Cortex AI, Vertex AI, and external LLM APIs

Software Development

Design and develop web‑based AI applications, building backend services and features in Python that integrate AI models and enterprise data
Own the full software development lifecycle, writing clean, testable code with appropriate unit and integration tests
Build, test, and deploy AI solutions using modern pipelines, ensuring production reliability and scalability

Data Engineering & Analytics

Process and analyze large datasets using Snowflake
Design, build, and maintain ETL pipelines
Develop data models supporting analytics and AI workloads

Engineering & Platform Practices

Build reusable AI components, APIs, and shared services
Partner with platform and IT teams to ensure secure, standardized deployments
Contribute to engineering standards for testing, CI/CD, observability, and documentation

Visualization & Business Enablement

Develop dashboards and insights using Qlik
Communicate AI outcomes and insights to business stakeholders

Collaboration & Governance

Drive projects end‑to‑end with a product owner mindset
Ensure data security, compliance, and AI governance
Stay current with advances in AI and Generative AI technologies

Required Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field
5+ years of experience in AI engineering, data science, or machine learning
Strong proficiency in Python and SQL
Hands‑on experience with LLMs and Generative AI systems
Experience with Snowflake and cloud platforms
Strong communication and problem‑solving skills

Preferred Qualifications

Experience with Snowflake Cortex AI and Google Vertex AI
Experience with embeddings, vector databases, and RAG architectures
Manufacturing or industrial domain experience
Familiarity with MLOps practices

What This Role Is

An applied AI engineering role focused on production systems
A bridge between advanced AI capabilities and real business value
A role for engineers who thrive on ownership and impact

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.

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