20 publicaciones de empleo destacadas de machine learning platform engineer en metro romero rubio (¡Están contratando!)

AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Manager, Engineering
iCims —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Disponible para viajar
- Reclutamiento
- Seguro de la vista
Data Engineer
PROGRAMMING.COM —Azcapotzalco, CDMX
- $75,000 a $85,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- $80 a $110 por hora
- Home Office (Desde casa)
- Doctorado
- Inglés
- Maestría
- Horarios flexibles
Postulación rápida
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Manager, Engineering
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Disponible para viajar
- Reclutamiento
- Seguro de la vista
Business development manager
Kutir Technologies —Cuauhtémoc, CDMX
- $75,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Administración de personal
Postulación rápida
Senior Machine Learning Engineer (Remote opportunity)
Hyatt Corporate Office —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
Data Engineering Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Oracle
- Informática
- ERP systems
- Seguro dental
- Seguro de la vista
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
IOT Software Applications Engineer
Qualcomm —Ciudad de México, CDMX
- Informática
- Inglés
- Maestría
Senior Application Engineer, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
Practice Lead
Palo Alto Networks —Ciudad de México, CDMX
- Azure
- Liderazgo
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
2d

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AI Business Operations Analyst - Mexico City (Hybrid)

Clara -
Ciudad de México, CDMX

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Información del empleo

Beneficios

Opciones sobre acciones

Cualificaciones

Ventas SaaS
Derecho
Salesforce
Inglés
SQL
B2B
Portugués
HubSpot
Python

Descripción completa del empleo

Ready to accelerate your career?

Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

What you'll do

We're looking for an AI Business Operations Analyst to join Clara Ops and drive a new chapter of how we run the company. This is not a traditional ops role. You will be the person who spots where humans are doing work that machines could do better — and then builds the systems that make it happen. You will sit at the intersection of strategy, automation, and execution, working across teams to eliminate friction, accelerate decisions, and raise the operational ceiling of Clara.

You will report to the Global Head of Operations and partner closely with Product, Sales, Finance, and Engineering. You will own the full loop: identify the opportunity, design the solution, deploy it with AI and automation tooling, and measure the outcome.

Map high-friction operational workflows across Clara and prioritize them for AI-augmentation and automation — building a roadmap that compounds in impact over time.
Design, deploy, and iterate on AI-powered workflows using tools like Claude Code/Codex, n8n, and other LLM APIs to do things that weren’t possible before and replace manual, repetitive, or error-prone processes.
Collaborate with commercial and operational leaders to identify where agent-based or rule-based automation can improve speed, accuracy, or capacity — without adding headcount.
Build and maintain operational dashboards in Metabase to surface the KPIs that matter and flag anomalies before they become problems.
Partner with Product and Product Marketing on process changes tied to new feature launches, ensuring operational readiness before every release.
Serve as the internal expert on AI tooling for operations — evaluating new tools, sharing what works, and building the internal playbook on how Clara uses AI.
Identify data gaps and work with Engineering to create the instrumentation or pipelines needed to power better operational decisions.
Document processes clearly so that what you build can be maintained, improved, and handed off — not just understood by you.
You’re excited about leading a team of AIs - not becoming a people manager - and have an unlimited token budget.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves:

Experience working at top consulting firm (Bain/BCG/McKinsey) or similar professional services or/and high-velocity startup.
Proven AI automation track record. Demonstrated examples and experience automating and augmenting operations with AI. This is not aspirational — we want to see what you've already shipped.
3–7 years of experience in operations, strategy, or a related field — ideally in a LatAm fintech, payments, or high-growth B2B SaaS company.
Hands-on experience building automated workflows with tools like n8n, Make, Zapier, or similar — no-code and low-code fluency is a must.
Familiarity or proven ability to work with company systems of records such as CRMs (e.g. Hubspot, Attio, Salesforce), Support triage (e.g. Zendesk), data warehouses (e.g. Databricks, Snowflake), and BI tools
Comfortable working directly with LLM APIs (OpenAI, Anthropic, etc.) to build operational tools and agents, even if you're not a software engineer.
Strong analytical skills — comfortable querying data in SQL or working with BI tools like Metabase to build the operational visibility Clara needs.
Structured thinker with a bias for action: you break down complex problems, make decisions with incomplete data, and move fast without breaking things.
Excellent communicator — you translate technical solutions into business terms for non-technical stakeholders, and business needs into precise specs for engineers.
Fluent in English

Nice to haves:

Basic proficiency in Portuguese or a desire to learn it.
Independent analytical skills using Metabase, SQL, or Python to drive data-informed decision-making.
A good sense of humor.

Why join Clara

At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who we are

We’re the leading B2B fintech for spend management in Latin America.
Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
Passionate about making Latin America more prosperous and competitive.
Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
Product-led, high-talent-density culture — designed for builders who raise the bar.
Proud of our open, inclusive, and values-driven environment.

What we believe in

#Clarity. We say things clearly, directly, and proactively.
#Simplicity. We reduce noise to focus on what really matters.
#Ownership. We take responsibility and never wait to be told.
#Pride. We build products and experiences we’re proud of.
#Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
#Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

Competitive salary and stock options (ESOP) from day one
Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
Annual learning budget and internal accelerated development paths
High-ownership environment: we move fast, learn fast, and raise the bar — together
Smart, ambitious teammates — low ego, high impact
Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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machine learning platform engineer empleos en metro romero rubio

AI Business Operations Analyst - Mexico City (Hybrid)

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Manager, Engineering

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Machine Learning Engineer

Systems Engineer - Must Reside in Mexico City

Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)

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Manager, Engineering

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Senior Machine Learning Engineer (Remote opportunity)

Data Engineering Engineer

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IOT Software Applications Engineer

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