16 publicaciones de empleo destacadas de machine learning engineer en cdmx (¡Están contratando!)

Data Analyst
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,800 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- SQL
Senior AI Engineer – Python / FastAPI / GenAI
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
2d
QA Automation Engineer (API & Database Validation)
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Java
Ingeniero de Datos Senior – GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
2d
Ingeniero de Software Senior – IA Generativa y Python
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
2d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
12d
Big Data Engineer
AVL Iberica —Ciudad de México, CDMX
- Informática
- Inglés
- Maestría
2h
Lead Software Engineer (Golang/TypeScript/React)
FXC Intelligence —Ciudad de México, CDMX
- Home Office (Desde casa)
- SQL
- Liderazgo
- Python
1h
Senior Software Engineer (Golang/TypeScript/React)
FXC Intelligence —Ciudad de México, CDMX
- Home Office (Desde casa)
- SQL
- Liderazgo
- Python
1h
Software Engineer (Golang/TypeScript/React)
FXC Intelligence —Ciudad de México, CDMX
- Home Office (Desde casa)
- SQL
- Liderazgo
- Python
1h

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Data Analyst

Sezzle -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
$2,800 a $6,800 por mes

Cualificaciones

Looker
Power BI
Estadísticas
Informática
Matemáticas
Tableau
Maestría
SQL
PostgreSQL
Servicios financieros
Visualización de datos
Redshift
Habilidades de comunicación
Experiencia en operaciones bancarias
Python

Descripción completa del empleo

The salary range for this role is $2,800 - $6,800 USD gross per month (Based on experience and performance during the interview process)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

Sezzle is currently seeking a Data Analyst to help drive business outcomes through analytics. This role presents an opportunity to work in a fast-paced, high growth environment while partnering with stakeholders across the organization to identify opportunities, measure performance, and improve operational efficiency.

You will collaborate with teams across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to define key metrics, build reporting solutions, and deliver actionable analysis. Responsibilities include writing SQL queries, developing dashboards, performing exploratory analyses, and contributing Python-based analytics workflows that support scalable decision-making across the business.

What You'll Do:

Work closely with business teams to understand their priorities and analytics needs
Create sophisticated analyses and reporting to provide insights at scale that support strategic initiatives and empower data-informed decision-making
Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
Help stakeholders identify new opportunities through data analysis
Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses
Utilize modern AI tools, including LLMs, copilots, and workflow automation platforms, to enhance analytical productivity and develop scalable solutions to business problems

What We Look for:

Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
Master's degree or 3+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
Expert in using SQL to extract data and create actionable data sets
Experience with Python for data processing and analytics
Ability to complete analyses with minimal guidance
Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
Excellent problem-solving skills
Strong business judgment and communication skills
Fluent in English

Preferred Qualifications:

Graduate degree in a quantitative discipline
Experience optimizing operational and financial performance
Experience in payments, financial services, banking, fintech, BNPL

The Tech You'll Work With:

Python
Redshift, PostgreSQL
Data build tool (dbt)
AWS, G Suite, Mac
Coding agents Claude, ChatGPT

Interview Process:

Application submitted (you are here)
Wonderlic test (30-40 min)
Coding assessment (~1.5 hours)
Interview with recruiters (30 min)
Verbal case study interview. Share how you approach new problems. A "How would you…" conversation.
Verbal behavioral interview. Share your problem-solving experience. A "Tell me about a time when you…" conversation.
Offer!

About You:

You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
You're not bound by convention - your success—and much of the fun—lies in developing new ways to do things
You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

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The salary range for this role is $2,800 - $6,800 USD gross per month (Based on experience and performance during the interview process)

What We Look for:

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