Machine Learning Engineer (México)

Machine Learning Engineer (México)

20 sep
|
Xforia Global Talent u0026 Technology Solutions
|
México

20 sep

Xforia Global Talent u0026 Technology Solutions

México

Job Details

AI/ML Engineer

Long Term Contract

100% Remote

Language(s): English

Work Schedule: M-F 40 hours a week.

Project Details: Our client is seeking an experienced Machine Learning Engineer to design, develop, and deploy production-grade GenAI and Agentic AI solutions. The idóneo candidate has strong Python engineering skills, hands-on experience building AI agents and orchestration frameworks, and proven expertise in deploying scalable cloud-native applications.

Musts:

5+ years of software engineering, machine learning engineering, or AI engineering experience.

Strong proficiency in Python and modern software engineering principles.

Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications.

Experience building RESTful APIs using FastAPI or equivalent frameworks.

Strong experience with Docker, containerization, and cloud-native application development.

Familiarity with Azure services, including Azure OpenAI, Azure AI Foundry, Azure ML, Azure Functions, App Services, or similar platforms.

Experience implementing CI/CD pipelines and Git-based development workflows.

Strong debugging,



problem-solving, and performance optimization skills.

Excellent communication and collaboration skills within cross-functional teams.

Key Responsibilities:

Design, develop, test, and deploy production-ready Agentic AI and GenAI services.

Build and maintain AI agent workflows using frameworks such as LangGraph, Pydantic AI, AG2, LangChain, or similar technologies.

Develop scalable APIs and microservices using FastAPI and related frameworks.

Implement containerized solutions using Docker and support deployment across cloud environments.

Collaborate with data scientists, product owners, and business stakeholders to translate requirements into robust AI solutions.

Establish engineering best practices, including code reviews, testing, CI/CD pipelines, and Git-based development workflows.

Monitor, troubleshoot, and optimize AI applications to ensure reliability, performance, and scalability.

Create clear technical documentation and maintain high-quality, maintainable code.

📌 Machine Learning Engineer (México)
🏢 Xforia Global Talent u0026 Technology Solutions
📍 México

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