Top Artificial Intelligence Jobs in Mexico

Develop and benchmark advanced robotics algorithms for efficient solutions in autonomous systems and edge robotics. Integrate robotic systems and publish results in journals.

The role focuses on defining and scaling AI-enabled QA capabilities, researching technologies, designing solutions, supporting sales, and mentoring teams.

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.

The Learning Experience & Design Specialist designs and develops digital learning modules incorporating AI tools and graphic design for leadership programs, ensuring high-quality engaging content and assessments.

The Reporting Analyst creates and maintains reports and dashboards, analyzes data, and provides insights to inform leadership decisions. Responsibilities include leveraging data to monitor performance metrics and collaborating with service teams.

Lead a team of 12-14 software developers, managing project activities, optimizing processes, conducting code reviews, and ensuring delivery of high-quality products.

As an AI Architect, you'll design scalable IT systems, integrate AI solutions, lead technical strategies, and mentor teams, ensuring alignment with business goals.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

Lead the development and implementation of AI strategies within the Marketing team, ensuring effective adoption and measurement of AI tools, while fostering innovation and best practices.

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

Design, develop and maintain microservices and RESTful APIs using Java and Spring Boot. Collaborate with teams and ensure high-quality engineering solutions.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As an AI Services Consultant at Zendesk, you'll provide technical solutions for AI implementation, ensuring customer satisfaction and successful project delivery through effective change management and agile project management practices.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

Evaluate and annotate various types of content for quality and consistency, following structured guidelines during a data annotation project.

The AI/ML Engineer will assist in developing machine learning models, data preprocessing, testing, and integrating ML solutions while learning from experienced professionals.

Work on Applied AI platforms and features: design, build, and ship AI-powered full-stack systems (backend, APIs, data, frontend). Integrate embeddings, agentic systems, and automation into products and workflows, participate in production support, and collaborate with cross-functional teams under senior guidance.

The Machine Learning Engineer will develop and deploy ML solutions, focusing on computer vision and backend systems, collaborate with teams, and ensure reliable production-grade systems.

Own and execute customers' AI roadmaps, aligning product capabilities to business strategies, ensuring successful adoption, driving revenue growth, and achieving high customer satisfaction through effective stakeholder engagement.

The Tech & AI Content Course Creator will design AI curricula, create hands-on projects, prototype workflows, and adapt tech trends for the Hong Kong and Singapore markets, while collaborating globally and iterating based on feedback.

As Director of AI/ML, lead AI teams, manage AI projects, ensure scalable solutions, and coordinate across multiple departments to deliver impactful AI solutions.

The AI Product Engineer will design and implement Agentic AI platforms for Financial Services, engaging directly with clients to define use cases and leading the full SDLC for deployment.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

As a Senior AI/ML Engineer, you will design and implement AI solutions, collaborate with cross-functional teams, and ensure robust deployment in healthcare contexts.