15 publicaciones de empleo destacadas de lead python developer en ciudad de méxico, dif (¡Están contratando!)

FBS MLOps Engineer Manager
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Technical Architect
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Java
- Licenciatura
5d
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
Java Developer
Infosys —Ciudad de México, CDMX
- Oracle
- DevOps
- Inglés
Postulación rápida
2d
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
Integration Analyst | TIBCO, APIs, Cloud
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
Postulación rápida
Marketing Cloud Consultant
Grupo Capqtus —Ciudad de México, CDMX
- Mercadotecnia
- Ingeniería
- Inglés
Postulación rápida
Business Operations Site Reliability Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- Informática
Business Analyst (Pre-Sales & Delivery)
TechBiz Global GmbH —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- PMP
- Licenciatura
Postulación rápida
QA Automation Engineer
UST —Ciudad de México, CDMX
- Azure
- DevOps
- Java
- Seguro de vida
Postulación rápida
2d
Principal Engineer, DevOps
iCims —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de la vista
Principal Engineer, DevOps
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de la vista
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
Senior Security Infrastructure Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Linux

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$140,000 a $162,000 por mes
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FBS MLOps Engineer Manager

Capgemini -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$1 por año

Beneficios

Vacaciones adicionales o permisos con goce de sueldo
Pensión de la empresa

Cualificaciones

Rust
Administración de personal
Riesgos de préstamos
DevOps
Inglés
Java
Maestría
JavaScript
Ruby
Liderazgo
Python

Descripción completa del empleo

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

A solid and innovative company with a strong market presence
A dynamic, diverse, and multicultural work environment
Leaders with deep market knowledge and strategic vision
Continuous learning and development

This position leads the deployment, implementation, and optimization of machine learning pipelines to solve complex business challenges. The role involves both hands-on work and supervising a team to deliver effective machine learning engineering solutions for a line of business. The position applies in-depth knowledge of policies, procedures, and business objectives to make decisions and guide team. Performs work independently while receiving limited guidance

Key Responsibilities

Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models.
Implements real-time inference with high availability and low latency.
Creates strategic plans within span of control and implements them across one to two business domains.
Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows.
Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models)
Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems
Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports
Uses advanced knowledge of code management principles to follow architectural and governance guidelines

Requirements

5 years of experience required in deploying and managing machine learning pipelines, or related work.
Full English Fluency
Experience in a leadership role within a fast-paced, technology driven environment
Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports
Insurance (PLUS), Healthcare, heavily regulated, audit

Technical & Business Skills

Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust
Familiar with DevOps practices and tools for continuous integration and deployment. (MUST)
Experience in Production Support (Maintaining Models, Bug Fixes) MUST
Collaborative with other areas, Translate, strong communication
Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior. (MUST)
Small volumes of data but fast execution
Automated software and Model Testing (how to know model is behaving properly)

Benefits

This position comes with competitive compensation and benefits package:

Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally reknowned group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development

Postulación rápida

Refina tu búsqueda

lead python developer empleos en ciudad de méxico, dif

FBS MLOps Engineer Manager

Principal AI Engineer

Technical Architect

Data Engineer II, DASH Device Operations

Java Developer

Software Engineer | AI Focus

Integration Analyst | TIBCO, APIs, Cloud

Marketing Cloud Consultant

Business Operations Site Reliability Engineer

Business Analyst (Pre-Sales & Delivery)

QA Automation Engineer

Principal Engineer, DevOps

Principal Engineer, DevOps

Senior Payments Engineer — Acquiring & Payment Processing

Senior Security Infrastructure Engineer

Other jobs to consider

Quiero recibir la alerta de empleo más reciente para lead python developer en ciudad de méxico, dif

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