20 publicaciones de empleo destacadas de machine learning platform engineer en santiago teyahualco méx. (¡Están contratando!)

Manager, Engineering
iCims —Ciudad de México, CDMX
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Scribd, Inc. —Ciudad de México, CDMX
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Salesforce —Ciudad de México, CDMX
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Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
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ETAP —Ciudad de México, CDMX
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Senior Machine Learning Engineer (Remote opportunity)
Hyatt Corporate Office —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
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Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
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Training Program Manager, AI-First PM Training
First Principles —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida
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Databricks —City, Hgo.
- Microsoft Excel
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- Informática
Data Engineer
PROGRAMMING.COM —Azcapotzalco, CDMX
- $75,000 a $85,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Staff I Data Engineer - CORO Products
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- DevOps
6d
Manager, Engineering
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Disponible para viajar
- Reclutamiento
- Seguro de la vista
Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- $80 a $110 por hora
- Home Office (Desde casa)
- Doctorado
- Inglés
- Maestría
- Horarios flexibles
Postulación rápida
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
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- Maestría
Postulación rápida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
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Oliver Wyman - Advanced Analytics Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
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Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
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6d
Staff I Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
6d
Data Engineer - CORO Products
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Azure
- Inglés
- SQL
6d

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Manager, Engineering

iCims -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Beneficios

Seguro de la vista

Cualificaciones

Go
ATS
Inglés
Django
Reclutamiento
Desarrollo de software
Seguridad
SaaS
Python

Descripción completa del empleo

Mexico City, Mexico
Engineering
Full Time
Remote
6557

Job Overview

As an Engineering Manager at iCIMS, you will lead the delivery of enterprise software solutions that transform how organizations attract, engage, and hire talent.

You will be responsible for both technical excellence and the growth of your team, supporting projects from discovery through implementation and operation. You will partner closely with Product Management, Design, Architecture, Security, and other Engineering teams to evaluate technical needs, develop solution proposals, and present them to the appropriate stakeholders for review and approval.

Your leadership will contribute directly to the evolution of iCIMS’ global talent acquisition platform, including automation, conversational experiences, and responsible AI capabilities.

About Us

ICIMS is a leading enterprise hiring platform that combines the scale and reliability of enterprise software with the transformative power of AI. Thousands of organizations across more than 200 countries and territories trust ICIMS to find and hire the people who shape their future and drive their business forward. Powered by insights from billions of hiring interactions, continuous AI innovation, and a highly extensible platform, ICIMS helps organizations turn talent acquisition into a competitive advantage. For more than 25 years, ICIMS has delivered end-to-end hiring solutions that improve recruiting efficiency, reduce costs and create exceptional candidate experiences.

ICIMS helps solve one of the biggest challenges businesses face today: building a workforce that can adapt, scale, and perform in an increasingly competitive and unpredictable talent market. We uniquely do that by combining enterprise-grade hiring technology, AI-powered insights and automation, and connected talent experiences to help organizations improve hiring outcomes while driving measurable impact.

Responsibilities

Lead with purpose: Translate product and business needs into actionable engineering plans aligned with iCIMS’ strategy, architectural standards, and customer commitments.
Propose technical solutions: Collaborate with engineers and cross-functional stakeholders to evaluate options, document trade-offs, and recommend scalable and secure technical solutions.
Present proposals for review and approval by the relevant architecture, product, and engineering stakeholders.
Develop your team: Lead, coach, and support a team of four to six engineers, fostering autonomy, continuous learning, innovation, and professional growth.
Drive delivery and impact: Oversee the full project lifecycle, from technical discovery and planning through deployment and operation. Ensure approved solutions are delivered reliably and generate measurable value for customers and candidates.
Support sound decision-making: Identify risks, clarify dependencies, and provide recommendations in complex or ambiguous situations.
Balance delivery speed, quality, security, and long-term maintainability.
Collaborate across functions: Partner with Product, Design, Data, Architecture, Security, and Operations to create cohesive experiences centered on recruiters, hiring managers, and candidates.
Promote engineering excellence: Encourage strong practices in software design, testing, observability, documentation, security, and operational readiness.
Strengthen the culture: Foster accountability, trust, transparency, flexibility, and inclusion. Lead by example and create an environment where people can do their best work.

Technical challenges you will face

Developing and optimizing event-driven systems capable of processing millions of interactions involving candidates, job requisitions, and hiring workflows.

Proposing reliable technical approaches for complex and highly configurable enterprise hiring processes.

Building robust authentication, authorization, privacy, and data-protection capabilities.

Evolving a platform used by global organizations while accounting for internationalization, localization, accessibility, and regulatory requirements.

Designing real-time communication tools and conversational experiences for candidates and talent teams.

Incorporating automation and responsible AI while maintaining control, traceability, governance, and human oversight.

Continuously improving the observability, resilience, performance, and operational readiness of services.

Main Technologies

Backend: Go, Python (Django, FastAPI)

Strong programming background, preferably with Go, but Django, FastAPI, and event-driven or microservices architectures are also desired.

Qualifications

At least four years of software development experience using modern programming languages.

At least two years of hands-on, in-depth experience with Go; this is a required qualification.

At least two years of experience leading engineering teams.

Excellent written and verbal communication skills in English, with the ability to collaborate effectively, influence decisions, and present technical proposals to global technical and non-technical stakeholders.

A demonstrated ability to coach engineers and support high-performing teams.

Experience working in dynamic SaaS environments, high-growth organizations, or complex enterprise products.

Strong knowledge of hexagonal architecture, event-driven systems, networking, observability, monitoring, and testing.

Experience designing scalable, resilient, and secure software and infrastructure.

The ability to assess technical alternatives, explain trade-offs, and develop well-supported recommendations for stakeholder approval.

Experience managing priorities, dependencies, and technical commitments across multiple teams.

Strong organizational skills, humility, and a continuous-learning mindset.

The ability to provide clarity and guidance in ambiguous situations.

Preferred

Experience with enterprise security, privacy, and compliance standards.

Worked with global, multi-tenant, highly available platforms.

Familiarity with talent acquisition systems, HR technology, applicant tracking systems, or recruiting platforms.

Experience implementing machine learning, artificial intelligence, or intelligent automation solutions.

Understanding of responsible AI principles such as transparency, governance, explainability, and human oversight.

Lead by example and know how to inspire, develop, and build trust within a team.

Advanced English proficiency (C1 or above)

EEO Statement

ICIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at ICIMS. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you’d like to request an accommodation due to a disability, please contact us at [email protected].

Compensation and Benefits

Direct employment with full legal benefits
Major medical insurance including dental, vision, and travel coverage
100% remote work
18 labor days of vacation
Support for furniture and equipment

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machine learning platform engineer empleos en santiago teyahualco méx.

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Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en santiago teyahualco méx.

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