20 publicaciones de empleo destacadas de machine learning en cuauhtémoc, dif (¡Están contratando!)

Data Scientist (Científico de Datos) - Hybrid
Clara —Ciudad de México, CDMX
- Administración de personal
- Inglés
- SQL
9d
Senior Python Developer – IA / LLMs
IES-Systems —Del Valle Centro, CDMX
- $20,000 a $30,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Desarrollo de software
- Habilidades de comunicación
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
Científico de datos - Análisis geoespacial y optimización
BUSCA TALENTO —Loreto, CDMX
- $35,000 por mes
- Aplicaciones en linea
- Investigación
- Experiencia en bases de datos
- SQL
Postulación rápida
4h
Ingeniero Senior, Datos Industriales
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Data & AI Scientist
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- SQL
Postulación rápida
9d
Software Engineer
Cincinnati AI —Ciudad de México, CDMX
- $83,000 a $90,000 por mes
- Tiempo completo
- Informática
- Inglés
- Java
Postulación rápida
14d
0151 - Python Developer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Microsoft Office
- SQL
Postulación rápida
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
CONSULTOR C2 INGENIERO ML
Gentera —Ciudad de México, CDMX
- Python
- Seguro de vida
AI Engineer
SDG Group —Ciudad de México, CDMX
- Español
- Azure
- Doctorado
Postulación rápida
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
14d
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Data Scientist II
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- DevOps
- SQL
Postulación rápida
AI/ML Engineer Sr.
RED AMIGO DAL S.A.P.I. of C.V. S.O.F.O.M. E.N.R —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Ingeniería
- SQL
Postulación rápida
Especialista Ciencia de Datos Sr.
GNP Seguros —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Ingeniería
1d
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría

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Data Scientist (Científico de Datos) - Hybrid

Clara -
Ciudad de México, CDMX

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Información del empleo

Hace 9 días

Beneficios

Opciones sobre acciones

Cualificaciones

TensorFlow
Administración de personal
R
Git
Inglés
SQL
Programación orientada a objetos
Portugués
Visualización de datos
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.

We are looking for someone who will:

Build, integrate and maintain machine learning models in a development environment
High level of business understanding to tackle any problem with the best possible approach
Create simple but very informative visualizations to explain your work for a broad audience
Identify data requirements and needs along with the data engineering team
Be able to collaborate with teams remotely, not only locally
Conduct data analysis to support business decisions.
Collaborate with data engineers to ensure data availability.
Collaborate with our data engineering team to implement solutions to meet the company's goals
Document your work to have a solid foundation of it for new team members or future reference
Experience delivering end to end solutions for business teams

Requirements:

3+ years of experience as a Data Scientist
Proficiency in SQL, Python, and Git.
Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow).
Experience with object-oriented programming (OOP).
Familiarity with AWS and Databricks.
Understanding of data science best practices.
Ability to say 'I don't know' and willingness to research and find solutions.
Good english level.

Preferred Qualifications:

Experience with Corporate Bill Pay and Spend Management: Familiarity with corporate bill pay, credit card, and spend management products.
Data Visualization Tools: Experience with data visualization tools such as Metabase, QuickSight, and Databricks.
Programming Skills: Proficiency in SQL, Python, and/or R for data analysis and modeling.
A/B Testing and Experimentation: Experience designing and analyzing A/B tests to drive product decisions.
Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.

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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Quiero recibir la alerta de empleo más reciente para machine learning en cuauhtémoc, dif

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