1 publicación de empleo destacada de java 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
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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

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