20 publicaciones de empleo destacadas de scientist , amazon music disco en loreto cdmx (¡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
Custom Analytics Manager II
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
6d
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
Sr. Financial Analyst, MX Marketing and Prime Finance
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Access
- Oracle
- Inglés
Senior Software Development Engineer
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación
13d
FBS Distribution Analytics Deputy Director
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
11d
Project Manager - Satellite Gateway Infrastructure
AST SpaceMobile —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
AMS Functional Consultant – SAP MM / SAP FI / SAP SD
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
13d
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
Senior Data Analyst
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
- Seguro de vida
7d
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Data Engineer Senior
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
Data Engineer
entropia AI —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Java
- SQL
Postulación rápida
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida

Quiero recibir la alerta de empleo más reciente para scientist , amazon music disco en loreto cdmx

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

scientist , amazon music disco jobs near loreto cdmx

Empleos de Data Engineer en Ciudad De México, CDMX

Empleos de Data Engineer en Jalisco

Empleos de Data Engineer en Guadalajara, JAL.

Empleos de Devops Engineer en Ciudad De México

Empleos de Data Engineer en Nuevo León

Empleos de Data Engineer en Desde Casa

Empleos de Data Analyst en Mérida, YUC.

Empleos de Machine Learning Engineer en Monterrey, N. L.

Empleos de Quality Engineer en Silao, GTO.

Empleos de Machine Learning Engineer en Americana, JAL.

Empleos de Machine Learning Engineer en Ciudad De México

Empleos de Fpga Engineer en Guadalajara, JAL.

Empleos de Data Engineer en Remoto

Empleos de Data Engineer en Yucatán

Empleos de Data Engineer en Ciudad De México

Empleos de Data Analyst Python en Ciudad De México

Empleos de Data Engineer en Monterrey, N. L.

Empleos de Qa Automation Engineer en Ciudad De México

Empleos de Business Development Manager en Monterrey, N. L.

Empleos de Community Manager en Ciudad De México

Machine Learning Engineer - Fraud

PayJoy -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Tiempo completo

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.

Postúlate ahora

Refina tu búsqueda

scientist , amazon music disco empleos en loreto cdmx

Machine Learning Engineer - Fraud

Custom Analytics Manager II

Data Engineer

Cement Solution Manager

Digital Media Strategist - MX

Sr. Financial Analyst, MX Marketing and Prime Finance

Senior Software Development Engineer

Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico

FBS Distribution Analytics Deputy Director

Project Manager - Satellite Gateway Infrastructure

SUB-DIRECTOR DESARROLLO DE SISTEMAS

AMS Functional Consultant – SAP MM / SAP FI / SAP SD

Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico

Senior Analyst, Forecasting

Senior Data Analyst

Senior Data Engineer

Data Engineer II, DASH Device Operations

Data Engineer Senior

Data Engineer

AI Presales

Quiero recibir la alerta de empleo más reciente para scientist , amazon music disco en loreto cdmx

Related Searches

Explorar empleos en más ubicaciones

Responsibilities

Requirements

Benefits

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado