10 publicaciones de empleo destacadas de machine learning engineer en cuajimalpa, dif (¡Están contratando!)

Manager, Engineering
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Disponible para viajar
- Reclutamiento
- Seguro de la vista
1d
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Recruiter (Mexico)
Tiger Analytics Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Licenciatura
- Reclutamiento
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
3d
Filling & Packaging Field Service Engineer - Mechanical
GEA Group Aktiengesellschaft —Ciudad de México, CDMX
- Tiempo completo
- Maestría
Sr. AI Engineer - Marketing
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Channel Partner Operations Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Seguro de vida
2d
Data Platform Architect
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- SQL
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Lead Customer Management & Collections
Lendable —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- SQL
Regional Sales Manager
Cloudbeds —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
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- Experiencia en ventas
- Salesforce
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL

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Manager, Engineering

iCIMS Talent Acquisition -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 1 día

Beneficios

Seguro de la vista

Cualificaciones

Go
ATS
Inglés
Django
Reclutamiento
Desarrollo de software
Seguridad
SaaS
Python

Descripción completa del empleo

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 engineer empleos en cuajimalpa, dif

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la26.042 - Data Engineer

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