15 publicaciones de empleo destacadas de machine learning en interlomas, méx. (¡Están contratando!)

AI Engineer
Ford Motor Company —Ciudad de México, CDMX
- Informática
- Maestría
- Licenciatura
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Analytics Intern (Passenger Operations)
DiDi Global —Cuauhtémoc, CDMX
- Inglés
- SQL
- Python
Software Engineer II - Java
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Java
- JavaScript
- Desarrollo de software
20h
Senior C++ Systems Engineer – Windows Platform
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- C++
- Desarrollo de software
- Seguro de vida
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Software Developer (AI focused) - 6 month contract
Zipdev —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Postulación rápida
DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
11d
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Full Stack AI Engineer - Security
Arrivia, Inc. —Del Valle Centro, CDMX
- Informática
- Inglés
- Maestría
Postulación rápida
8h
Data Scientist
CIAL D&B Services Inc —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- Experiencia en bases de datos
Postulación rápida
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
5h

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Especialista en Innovación e IA para la Investigación Científica
UNAM DGTIC —Universidad Nacional Autónoma de México, CDMX
Investigar, mapear y mantener actualizado un panorama de sistemas, modelos y herramientas de IA aplicables al fortalecimiento y aceleramiento de la…
$20,000 a $32,000 por mes
Postulación rápida
Subdirector(a) de Desarrollo de Software
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO) —Parque del Pedregal, CDMX
Optimizar consultas y estructuras de bases de datos para grandes volúmenes de información. Planear, organizar y supervisar el ciclo de vida completo de los…
$43,000 por mes
Postulación rápida
5d

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AI Engineer

Ford Motor Company -
Ciudad de México, CDMX

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Información del empleo

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

65479

Category

Enterprise Technology

Location

Mexico City, 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).

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

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machine learning empleos en interlomas, méx.

AI Engineer

Senior Data Engineer

la26.042 - Data Engineering Lead

Desarrollador IA

Data Engineer II, DASH Device Operations

Analytics Intern (Passenger Operations)

Software Engineer II - Java

Senior C++ Systems Engineer – Windows Platform

AI Platform Engineer

Senior Software Developer (AI focused) - 6 month contract

DevOps Engineer (Data & AI Platform)

CYBERSECURITY SPECIALIST

Full Stack AI Engineer - Security

Data Scientist

Data Scientist , Amazon Music - DISCO

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Quiero recibir la alerta de empleo más reciente para machine learning en interlomas, méx.

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