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[e-448] - ai / machine learning engineer

Mérida, Yuc
Buscojobs México
Publicada el 20 septiembre
Descripción

Overview Hoy
We\'re shaping the future with AI and innovation, embedding it into everything we do to deliver smarter, faster, and bolder solutions that drive real-world impact. Passionate engineers who want to make a difference are invited to innovate with intent, drive business outcomes, and lead the AI-enabled transformation of a global organization.
Note: This listing includes multiple role references and company context. The refined description below focuses on a coherent AI Engineer opportunity and standard job description sections (responsibilities and qualifications) in a clear, formatted structure.
Role title AI Engineer — Design and deploy AI-powered solutions that are scalable, user-friendly, and integrated within real-world applications.
Responsibilities Develop machine learning models and Large Language Models (LLMs) for production environments.
Build scalable, cloud-native microservices using tools like Docker and Kubernetes.
Integrate end-to-end AI applications into web, mobile, or API-first platforms.
Qualifications Master\'s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or related field.
Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
Hands-on experience with agent-based frameworks for intelligent orchestration.
Familiarity with LLM providers and working with chat/image-based model outputs.
Additional context The original listing also contained various regional and agency sections (Data Science Manager, Senior Data Science Engineer, Business & Data Science Analyst, and others) and a multinational company description. Those sections have been omitted here to maintain a focused, job-focused description for the AI Engineer role.
Equal Opportunity VML is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

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