Top Artificial Intelligence Jobs in Mexico

Lead the development and execution of cloud and AI/ML strategies, design scalable cloud solutions, and act as a liaison between stakeholders and engineering teams.

The Senior AI/ML Engineer will develop AI solutions, integrate AI models, manage APIs, and ensure software security while collaborating across teams.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Lead a team of designers in creating AI-powered marketing and UI/UX designs, while managing projects, providing feedback, and developing processes.

The AI Software Engineer will develop a multi-agent system integrating AI agents into business teams, focusing on planning, architecture, and collaboration.

The Back-End Developer will design and maintain scalable microservices, ensuring quality, documentation, and deployment with various technologies while collaborating in a team environment.

Join the AI Special Forces team to provide high-quality customer support, troubleshoot technical issues, and collaborate with teams to enhance client satisfaction with AI technologies.

A Senior Technical Recruiter responsible for end-to-end recruiting of AI and ML roles, utilizing technical skills for sourcing and outreach globally.

Lead a team of data scientists, manage projects, and develop data-driven solutions to enhance company operations and customer experiences.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The FBS IT Automation Engineer will design and implement automation solutions, enhance system uptime, manage incidents, and foster a collaborative team environment.

Develop and implement software systems for generative AI, optimize code, ensure quality, and establish best practices in documentation.

Lead the development of scalable web applications using Angular and Node.js. Collaborate with teams, enhance software, and ensure quality delivery throughout the software development lifecycle.

Design and optimize AI models, deploy solutions on cloud platforms, and collaborate on AI enhancements while staying updated with industry advancements.

The 3D Artist will create high-quality 3D models, manage asset creation processes, collaborate with teams, and leverage AI tools for production workflows.

As a 3D Artist at AssetHub, you will create high-quality 3D models using AI tools within an offshore production workflow, collaborating with a global team.

As a Junior Customer Support Specialist, you will handle inbound inquiries, provide software advice, assist customers during trials, and contribute to the support knowledge base.

The Junior Customer Support Specialist addresses customer inquiries via phone, email, and live chat, advises on software use, and documents interactions in Salesforce, while fostering feedback and collaboration across teams.

As a No-Code Automation Specialist, you will design, implement, and monitor production-grade automations using tools like GoHighLevel and Zapier, ensuring data hygiene and providing clear documentation.

As the AI Lead, you will build and mentor a multidisciplinary AI team, directing technical execution and architecture of AI systems for robotics, including deep learning and MLOps.

As a Product Owner, you'll lead project execution, communicate with stakeholders, and ensure alignment with business goals. You'll manage project scopes and deliverables through effective collaboration and documentation.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

Lead AI initiatives, mentor engineers, and solve complex problems using advanced AI/ML techniques, optimizing models for performance and scalability.

The AI Data Engineer role focuses on building and maintaining data pipelines to support AI/ML models, ensuring high-quality datasets for analysis.