20 publicaciones de empleo destacadas en sr. maintenance engineer (¡Están contratando!)

AI Engineer
Ford Motor Company —Ciudad de México, CDMX
- Informática
- Maestría
- Licenciatura
Intern : Widebodies Externals PSE Field
GE Aerospace —Querétaro, Qro.
- Administración de personal
- Inglés
- Capacitación
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Senior Systems Engineer - Retail Application Engineer
Oracle —Zapopan, Jal.
- Tiempo completo
- Azure
- Oracle
- Informática
6d
Junior SDET
TrueML —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Java
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
6d
Senior QA Automation Engineer (Python | Selenium | Pytest)
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
10d
Staff Data Engineer
Dropbox —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
10d
Senior Database Administrator
NTT Ltd —Guadalajara, Jal.
- Incluye fines de semana
- Azure
- Oracle
- Experiencia en bases de datos
QUALITY PRODUCT CUSTOMER SENIOR
Hella —Irapuato, Gto.
- Inglés
- Liderazgo
Senior Systems Engineer - Senior Retail Applications Analyst
Oracle —Zapopan, Jal.
- Tiempo completo
- Azure
- Oracle
- Informática
4d
Supervisor Asociado de Producción
Flex LTD —Guadalajara, Jal.
- Tiempo completo
- Inglés
- Ensamblaje
- Licenciatura
5d
Senior Software Engineer, Windows/Desktop Applications - Monterrey, Mexico
Speechify —Monterrey, N. L.
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación
3d
Senior Automation Tester in Java (Salesforce)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Oracle
- Administración de personal
- Salesforce
- Vacaciones adicionales o permisos con goce de sueldo
Manufacturing Manager
Franklin Electric —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- Mantenimiento
- Experiencia en manufactura
Postulación rápida
6d
Engineering Intern - Data & AI Automation
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
2d
Software Development Intern (Automation and AI Enablement)
Intel —Guadalajara, Jal.
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- SQL
12d
Senior AI Engineer in Content Intelligence Applications
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Senior Database Administrator – Oracle / NoSQL
Qualcomm —Ciudad de México, CDMX
- Oracle
- Mantenimiento
- Experiencia en bases de datos
6d
SQL Database Administrator - Senior Associate
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Senior Data Systems Engineer, Oracle AI Database Private Agent Factory
Oracle —Zapopan, Jal.
- Tiempo completo
- Oracle
- JavaScript
- Desarrollo de software
Senior Database Administrator – SQL Server, MySQL, MongoDB/ NoSQL
Qualcomm —Ciudad de México, CDMX
- Oracle
- Mantenimiento
- Experiencia en bases de datos
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

Work Type

Hybrid

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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