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

Machine Learning Engineer - Data Science
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Licenciatura
- Seguro dental
- Seguro de la vista
2d
Senior Software Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Disponible para viajar
- Desarrollo de software
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
2d
Data scientist
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
11d
Senior Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- SQL
- Sin título de educación superior
EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Científico Senior en Inteligencia Artificial
MetLife —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
- Seguro de vida
4d
Enhancements Data SSIS Analytics - Senior Associate - Operate
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Experiencia en bases de datos
Senior Data Scientist – Procurement (m/f/d)
PPG —Miguel Hidalgo, CDMX
- Tiempo completo
- Azure
- ERP systems
- SQL
Postulación rápida
People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Data Analytics & BI Reporting - Senior Associate - Operate
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Experiencia en bases de datos
Senior Business Intelligence Analyst
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
- SQL
Senior Clinical Programmer (Python)
IQVIA —Ciudad de México, CDMX
- Informática
- Maestría
- SQL
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Manager: Reference Data & Security Master
S&P Global —Ciudad de México, CDMX
- Correo electrónico
- Inglés
- Experiencia en bases de datos
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Consultor SAP Datasphere Profile
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
Senior Software Engineer, Insights & Reliability Engineering
Crunchyroll, LLC —Ciudad de México, CDMX
- Informática
- SQL
- Licenciatura

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Machine Learning Engineer - Data Science

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 2 días

Beneficios

Seguro dental
Seguro de la vista
Seguro de vida

Cualificaciones

Informática
Tooling
Inglés
Pandas
Docker
Licenciatura
Flask
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 ML models that power our fraud detection, credit risk and other applications like cross-sell, churn and collections.

You will work closely with risk, fraud, engineering, product and business stakeholders across diverse markets to drive the design, implementation and scaling of ML models. 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 ML models, from the feature generation to the model rollout (design, development, deployment and monitoring).

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 Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets in Latam, South Africa and APAC
Design, build, and deploy machine learning models for a variety of use cases, including fraud detection, credit risk modeling, customer segmentation, collections and churn.
Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.
Handle large, complex datasets to clean, preprocess and extract relevant features to improve model 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 credit risk modeling, fraud detection or other applications of machine learning in the financial market is a big plus.
Hands-on experience with Databricks for developing, deploying and monitoring machine learning workflows at scale is also a 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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