20 publicaciones de empleo destacadas de systems modeling engineer en ciudad de méxico, dif (¡Están contratando!)

Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
BUSINESS DEVELOPER - SUSTAINABLE ENGINEERING
TERAO AMERICAS —Ciudad de México, CDMX
- Tiempo completo
- Mercadotecnia
- Inglés
- Microsoft Office
Postulación rápida
Banamex-Líder de Proyecto de Riesgo y Control Tech
Citi —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Informática
4d
Senior Database Engineer
Jumper Capital —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- Informática
- Experiencia en ventas
Postulación rápida
Senior Data Engineer
DiDi Global —Cuauhtémoc, CDMX
- Administración de personal
- Informática
- Inglés
Power BI Specialist
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Administración de personal
- Inglés
Data Engineer
Lyft —Ciudad de México, CDMX
- Administración de personal
- Inglés
- SQL
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Senior Security Infrastructure Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Linux
Senior Backend Engineer, Content Foundations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Environment Artist - GameSim - Talent Pipeline
Liquid Development —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Capacitación
- Liderazgo
Postulación rápida
3d
Full Stack Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- JavaScript
- HTML
Lead Software Engineer AI (Staff Engineer)
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
10d
Manager, Technical Consulting
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Java
12d
AEM Backend Developer
Boombit —Ciudad de México, CDMX
- Hasta $46,500 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Senior Software Engineer, Insights & Reliability Engineering
Crunchyroll, LLC —Ciudad de México, CDMX
- Informática
- SQL
- Licenciatura
Mid. Design & Release Engineer (Engine)
Segula Technologies —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Administración de personal
- CAD
Postulación rápida
5d
Portfolio Leader (Builder People Leader)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Liderazgo
7d

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Decision Intelligence Analyst - Mexico City

ailylabs
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Azure
Informática
PyTorch
Estructura de datos
Google Cloud Platform
SQL
Licenciatura
Python
Ciencia de los datos

Descripción completa del empleo

Mission

As a Decision Intelligence Analyst, you will be at the heart of how Aily's platform comes to life for our clients. You will own the day-to-day execution of client integrations — preparing and managing data, running and optimizing AI models, and ensuring that every tenant delivers the highest possible quality and business impact.

Your profile

This is a hands-on, execution-focused role based in Mexico City for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions.

What you'll do:

Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness
Adapt and configure data models to fit specific client contexts, business processes, and decision workflows
Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants
Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance
Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues
Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted
Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact
Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements

Your Profile
We're looking for an analytical and execution-driven professional who combines technical aptitude with a strong sense of ownership and business curiosity.

What you bring:

Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts
Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality
Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage
Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures
Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders
Adaptability: Able to context-switch across different industries, business functions, and client environments
User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful

Bonus points if you have:

Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar
Experience with cloud platforms (AWS, GCP, or Azure)
Previous internship or work experience in a data, analytics, or AI-related role
Exposure to enterprise software implementations or client-facing technical roles

Who are we?

At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution.
We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making.

What sets us apart?

Work on one of the most exciting problems in enterprise AI — how organizations make decisions at scale
Join a team of world-class engineers, scientists, and operators building something genuinely new
Competitive salary and equity package
Flexible, remote-first culture with the option to work from our offices in Lisbon and Munich
A culture that values ownership, curiosity, and direct feedback

About us

LEARN MORE

Postulación rápida

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systems modeling engineer empleos en ciudad de méxico, dif

Decision Intelligence Analyst - Mexico City

BUSINESS DEVELOPER - SUSTAINABLE ENGINEERING

Banamex-Líder de Proyecto de Riesgo y Control Tech

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AI DI Engineering Manager - Mexico City

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Quiero recibir la alerta de empleo más reciente para systems modeling engineer en ciudad de méxico, dif

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