19 publicaciones de empleo destacadas de databricks data en progreso nacional, dif (¡Están contratando!)

Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
1d
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
9d
Consumption Account Senior Manager
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Python
EY GDS Mexico - Senior AI Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Informática
- Maestría
Solutions Architect
Cube Dev —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- SQL
- JavaScript
Postulación rápida
Senior Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- JavaScript
- Disponible para viajar
SAP BOE Technical Specialist
Zurich Insurance —Ciudad de México, CDMX
- Tiempo completo
- Azure
- SQL
- Linux
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Principal Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- Disponible para viajar
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Gestión de productos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
EHSS Tech Program & Project Management, Senior Manager
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- ERP systems
- Maestría
Desarrollador Salesforce Sr | Remoto 2768
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- DevOps
- Inglés
- Seguro de vida
Postulación rápida
10d
Commercial Operations Lead (Líder de Operaciones Comerciales) - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Salesforce
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Principal Fullstack Engineer
Amalga Group SA de CV —Benito Juárez, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Microsoft Excel
- Administración de personal
Postulación rápida
3d
Data Analyst Jr.
DHL —Cuautitlán Izcalli, Méx.
- $24,000 a $26,000 por mes
- Tiempo completo
- Microsoft Excel
- Azure
- Experiencia en bases de datos
1d
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
1d
Machine Learning Engineer - Data Science
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Licenciatura
- Seguro dental
- Seguro de la vista
1d

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Machine Learning Engineer - Fraud

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 1 día

Beneficios

Seguro dental
Seguro de la vista
Seguro de vida

Cualificaciones

Informática
Inglés
Experiencia en bases de datos
Pandas
Docker
Licenciatura
Flask
Bases de datos orientadas a grafos
Python

Descripción completa del empleo

About PayJoy

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role

As a Machine Learning Engineer, you will be responsible for developing, optimizing and deploying the ML models and infrastructure that power our fraud detection capabilities across all of PayJoy’s products and markets.

You will work closely with fraud, engineering, product, risk, and business stakeholders across diverse markets to drive the design, implementation and scaling of ML models, AI agents, and other data products (fraud review queues, transaction authorization system, etc.). Your role will also involve ensuring that we are continuously improving the quality and performance of our models by gathering and integrating new data sources that enhance our predictive capabilities.

You will own the whole lifecycle of our fraud ML models, from the feature generation to the model rollout (design, development, deployment and monitoring). You will also build infrastructure to support both manual and automated decisioning of fraud risk.

You will be part of a data science team on a mission to improve access to credit and technology in emerging markets with the opportunity of creating a big and real positive impact to our millions of users across the countries we operate in.

Responsibilities

Collaborate with global teams including Fraud, Engineering, Product, and Risk to deliver world-class data science products to international markets in Latam, South Africa and APAC.
Design, build, and deploy machine learning models for fraud detection use cases across PayJoy’s product suite
Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.
Improve our infrastructure for fraud decisioning by extending it to new entity types, identifying and constructing new rules, and supporting greater scale as we grow.
Handle large, complex datasets to clean, preprocess and extract relevant features to improve product accuracy and performance.

Write production-level code with documentation, testing and peer review.
Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
Lead the testing, cost-benefit analysis and integration of new data sources to improve the accuracy and robustness of our ML models.

Work closely with our ML Platform and Tooling team to design and implement scalable feature generation and extraction pipelines and model deployment/monitoring processes.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a data scientist, machine learning engineer, data engineer or a closely related position with a proven track record of writing production-level code and developing and maintaining ML models in production.
High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, etc).
Comprehensive knowledge of ML lifecycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
Demonstrated experience with cloud providers (AWS preferred) and related services like containerization (e.g., Docker).
Experience in fraud detection or other applications of machine learning in the financial market is a big plus.
Experience with LLMs or graph databases is also a plus.
Hands-on experience with Databricks for developing, deploying and monitoring machine learning workflows at scale is another plus.
Good verbal and written communication skills in English
Ability to work in a fast paced environment with constant requirement changes.

Benefits

100% Company-funded Health and dental and vision discount plan for employees and immediate family members.
Life insurance.
Phone finance, Headphone, home office equipment and wellness perks.
30 days of Christmas bonus
20 days paid Vacation
50% Vacation premium
13% Saving funds
$2,000 MXN monthly grocery coupons
$2,000 USD annual Co-working Travel perk
$2,000 USD annual Professional Development perk
Catered lunches

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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