20 publicaciones de empleo destacadas de machine learning engineer en cdmx (¡Están contratando!)

IOT Software Applications Engineer
Qualcomm —Ciudad de México, CDMX
- Informática
- Inglés
- Maestría
Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
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- Doctorado
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- Maestría
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Levi Strauss & Co. —Centro (Área 1), CDMX
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Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
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Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
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Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
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Senior Software Engineer (Frontend) - Scribd Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- JavaScript
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
11d
AI Business Operations Expert - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
11d
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Software Engineer II - Java
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Java
- JavaScript
- Desarrollo de software
Channel Partner Operations Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Seguro de vida
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
Filling & Packaging Field Service Engineer - Mechanical
GEA Group Aktiengesellschaft —Ciudad de México, CDMX
- Tiempo completo
- Maestría
- Oportunidades de crecimiento
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
Customer Success Engineer (CSE)
Infoblox —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Servicio al cliente
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Fullstack Senior
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- SQL
Postulación rápida
software engineer I
EVO Payments Mexico, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Oracle
- Informática
- DevOps
Postulación rápida
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida

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IOT Software Applications Engineer

Qualcomm -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelos de inteligencia artificial
TensorFlow
Informática
Internet de las cosas
PyTorch
Plurilingüe
Experiencia en logística
Inglés
Sistemas de información
Maestría
Desarrollo de aplicaciones
C++
Licenciatura
Empaquetar
Ubuntu
Desarrollo de software
Linux
Requisitos comerciales
Gestión de venta al por menor
Sensores
Python
Debugging

Descripción completa del empleo

Company:

Qualcomm Intl Inc., Mexico Branch Office

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

General Summary:

Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high ‑ performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The Industrial & Embedded IoT (IE ‑ IoT) business unit enables secure, scalable, low ‑ latency intelligence across on ‑ device, on ‑ premises, and hybrid cloud deployments.

About the role

In this position you will be responsible for supporting Qualcomm customers using Qualcomm chipsets in IOT segment. The role requires close communication with both customers and internal development or engineering teams to understand customer requirements and system design. The candidate will provide end- to -end debugging and log analysis of issues on the chipsets, including BSP and user applications on customer products. The role combines customer-facing technical leadership with hands-on solution architecture, prototyping, and system validation, serving as a trusted technical contributor and advisor for customers and regional solution engagements.

Minimum Qualifications

Bachelor's degree in Engineering , Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering , Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.

Strong communication and interpersonal skills, high motivation, the ability to learn quickly and must be a self-starter.

2+ years of work experience with Programming Language such as C, C++, Python, etc.

Experience with embedded systems - exposure to one or more of Linux, Yocto , Ubuntu based systems.

1+ year of any combination of academic and/or work experience with device debugging techniques.

Background in computer vision, video analytics, or edge AI inference.

Ability to speak fluent Spanish and English

Excellent communication skills (verbal, presentation, written).

Preferred Qualifications

Experience delivering customer ‑ facing IoT or Edge AI solutions that moved beyond PoC to pilot or production.

Exposure to one or more verticals such as industrial automation, smart cities, public sector, energy, logistics, or retail.

Experience with Embedded Linux and modern application packaging (e.g., containers).

Skills in video/image processing, and application development.

Experience with multimedia frameworks (Android, Linux, any other OS). Gstreamer experience a plus.

System ‑ level understanding of IoT, embedded systems, M2M , industrial IOT and Edge AI deployments.

Understanding multiple key technology areas (Camera/Image sensors, Audio, Video, Display, AI/ML, Computer Vision, distributed systems, SoC architecture, RTOS)

Theoretical knowledge of machine learning, deep learning, model compression, quantization, and optimization is a plus.

Familiarity with AI frameworks and runtimes such as PyTorch , TensorFlow, ONNX, and deployment ‑ oriented inference workflows is a plus .

Have knowledge in on-device AI models deployment is a plus.

E xperience with client-server or distributed systems in quality or development

Experience with wireless standards (i.e. NBIot /LTE/5G/ WiFi /Bluetooth/GPS).

Principal Duties and Responsibilities

Support customer application deployment (E.g. computer vision, vision-language models) on Qualcomm Dragonwing platforms, helping customers move from development to commercialization.

Support pre-sales and post-sales customer engagements as a solution engineer, translating business requirements into technical solutions, optimizing AI workloads, providing deployment guidance, and driving issue investigation and resolution.

Translate customer requirements, use cases and business needs into technical solutions using Qualcomm platforms and technologies.

Provide internal enablement (training, documentation, and hands-on support) and help resolve technical issues as they arise.

Collaborate cross-functionally with internal teams and external partners (OEMs, ISVs, system integrators, and cloud providers) to align requirements and validate end-to-end solutions.

Act as a technical lead for customer engagements, supporting projects from discovery through PoC, pilot, early production and commercial solution launches.

Support customer architecture reviews and technical roadmap discussions.

Act as a trusted technical advisor to customers, guiding solution selection, implementation, and optimization of solutions based on product capabilities.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers .

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machine learning engineer empleos en cdmx

IOT Software Applications Engineer

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