Top Artificial Intelligence Jobs in Mexico

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

Lead the B2B demand generation strategy, optimizing pipeline in the U.S. and Mexico through AI integration and collaboration across teams.

Lead identification, experimentation, and scaled adoption of AI solutions across Finance. Partner with Finance, IT, Data, Security, and Risk to design pilots, implement tools, train users, ensure governance, track outcomes, and provide executive recommendations.

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.

Interns will work on developing AI/ML solutions for investment research, conduct quantitative analysis, and optimize financial models using large datasets.

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.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Design and build AI-powered features using C# and .NET Core for backend and Angular for frontend, ensuring scalable solutions across products.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Ecosystem Growth Manager will drive growth in the AIVM ecosystem by onboarding resource providers, attracting AI developers, and forming strategic partnerships, focusing on decentralized cloud infrastructure.