20 publicaciones de empleo destacadas de ai engineer en edo. de méxico (¡Están contratando!)

AI Engineer
Ford Motor Company —Naucalpan, Méx.
- Informática
- Maestría
- Licenciatura
8d
AI Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Informática
- Maestría
- Licenciatura
8d
Field Service Engineer (Automotive)
Samsara —Edo. de México
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Bachillerato
- Permiso de maternidad y paternidad
Hyper Automation & AI Software Engineer – Business Integration
Ford Motor Company —Naucalpan, Méx.
- Informática
- Inglés
- Java
Sr. Cloud Engineer
BSL-LIM Mexico —Edo. de México
- Tiempo completo
- Azure
- DevOps
- Linux
Postulación rápida
Technical Engineering Manager
Nexaminds —Edo. de México
- Home Office (Desde casa)
- Azure
- Administración de personal
Postulación rápida
Senior Backend Engineer (Python & Java)
Nexaminds —Edo. de México
- Home Office (Desde casa)
- Inglés
- Java
- JavaScript
Postulación rápida
Data & Analytics Specialist
Ford Motor Company —Naucalpan, Méx.
- Informática
- SQL
- Licenciatura
8d
(4070) Android Automotive Developer
ALTEN MÉXICO —Naucalpan, Méx.
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Java
- C++
- Seguro de la vista
Postulación rápida
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
Supply Chain Business Intelligence Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- Informática
- Análisis de datos
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Microsoft Fabric Engineer
Sealed Air —Edo. de México
- Azure
- SQL
- Python
Data & Analytics Specialist
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Informática
- SQL
- Licenciatura
8d
Tech SME
HSBC Global Services Limited —Toluca, Méx.
- Tiempo completo
- DevOps
- Desarrollo de software
12d
Senior Backend Architect LATAM
Wizdaa —Edo. de México
- Tiempo completo
- Home Office (Desde casa)
- Licenciatura
Postulación rápida
Cloud & Platform Operations Engineer
ISS —Naucalpan, Méx.
- Tiempo completo
- Azure
- Administración de personal
- Linux
Wiring Warranty Engineer (Toluca)
Segula Technologies —Toluca, Méx.
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Disponibilidad para viajar hasta un 50 %
Postulación rápida
Systems Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- CAD
- Maestría
- Licenciatura
10d
Operador de Producción
ACS Mexico S DE RL DE CV —Ocoyoacac, Méx.
- Bachillerato
- Almacén
- Experiencia en manufactura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
3d

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AI Engineer

Ford Motor Company -
Naucalpan, Méx.

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Información del empleo

Hace 8 días

Cualificaciones

Modelos de inteligencia artificial
TensorFlow
Informática
Ingeniería de software
React
Kubernetes
PyTorch
Big data
Git
Google Cloud Platform
Maestría
Bash
Docker
Licenciatura
NLP
Angular
Python
PowerShell
Shell Scripting

Descripción completa del empleo

Job ID

67481

Category

Enterprise Technology

Location

Naucalpan de Juárez, Mexico, Remote

Work Type

Remote

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

In this role, you will be a core contributor to our internal AI Software Engineering and Data Science projects. Guided by Senior Developers and Tech Anchors, you will help design, build, and deploy scalable applications that consume machine learning models. You will get hands-on experience deploying models on Google Cloud Platform (GCP), working with Generative AI technologies, and adhering to robust software engineering principles. This is an excellent opportunity for an engineer who is eager to accelerate their career in AI and DevSecOps.

Contribute to the development and maintenance of Python-based applications that leverage GenAI, LLMs, and traditional machine learning models to solve business problems.
Work closely with Senior Developers, Tech Anchors, and Product Managers to help deliver and scale our AI/MLOps platform on GCP for data scientists across the company.
Write clean, testable, and maintainable code, actively participate in code reviews, and utilize GIT for version control and collaboration.
Assist in the development of autonomous AI agents using frameworks such as LangGraph or ADK (Agentic Design Kit) to automate workflows.
Support the deployment of AI models into production, run simulations for algorithm development, and collaborate onthe design of intelligent systems.
Develop and integrate RESTful APIs to connect various systems and services within the ML platform.
Help automate AI model training, re-training, and deployment pipelines by applying Agile methodologies and CI/CD/CT principles, under the guidance of senior engineers.
Collaborate with the engineering team to understand the platform vision, break down tasks, and work together to solve complex Artificial Intelligence problems.
Experiment with emerging technologies (NLP, Computer Vision, MLOps, Kubernetes) to continuously grow your own technical expertise and share new learnings with the team.
Participate in innovating and standardizing AI/ML development practices within the team.
Effectively leverage AI-powered development tools (such as GitHub Copilot, Cline, or Open Code) to accelerate software delivery while rigorously maintaining high standards for code quality, security, and performance.

Minimum Qualifications

English proficiency (written and verbal)
A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
2+ years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services.
A solid foundational understanding of Machine Learning concepts and Generative AI (GenAI) technologies, including Large Language Models (LLMs).
Experience with AI/ML workflow orchestration tools: e.g., Airflow, Kubeflow etc.
Experience in DevSecOps using tools such as Tekton, SonarQube, Checkmarks etc.
Experience with scripting languages (e.g., Bash, PowerShell).

Desired Skills

Masters in computer science / AI, Machine Learning or related field.
Exposure to AI/ML workflow orchestration tools (e.g., Airflow, Kubeflow) and ML frameworks (Sklearn, TensorFlow, Pytorch).
Familiarity with CI/CD concepts and tools like GitHub Actions, SonarQube, or Checkmarks.
Basic knowledge or experience with Terraform.
Contribute to the development of user interfaces for the ML platform using of React / Dash / Angular or similar frameworks.
Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts.
Experience with Agile methodologies, Paired Programming, or Test-Driven Development (TDD).

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ai engineer empleos en edo. de méxico

AI Engineer

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Sr. Cloud Engineer

Technical Engineering Manager

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