Top Artificial Intelligence Jobs in Mexico

The Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

Lead cloud architecture design and propagate architecture standards. Design, migrate and maintain cloud/serverless solutions on Azure, ensure nonfunctional requirements, support project and application managers, and communicate architecture to development teams.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

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 AI Deployment Engineer designs, builds, and implements AI solutions and automation to enhance operational workflows. Responsibilities include developing AI agents, collaborating with teams to refine workflows, ensuring governance compliance, and driving solution adoption through user feedback.

The AI Data Engineer will develop ETL pipelines for structured and unstructured data, ensuring data quality and integrity for AI initiatives, and collaborate on automation solutions.

The AI Recruiting Operations Specialist optimizes AI-driven recruiting workflows, manages talent rediscovery, and collaborates cross-functionally to enhance operational efficiency.

As a Forward Deployed Engineer at NextLink Labs, you'll design and build AI systems using robust data infrastructures, work closely with clients, and develop pipelines and applications on modern LLMs.

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.

Lead advanced AI initiatives, mentor engineers, optimize ML models, and influence AI strategy, focusing on deep learning and MLOps.

As a Sr. Fullstack Engineer, you will design and develop scalable applications using C# and .NET for backend and React for frontend, while integrating AI technologies.

Design and develop AI-powered applications, integrate large language models, and implement machine learning solutions in a cloud environment while ensuring performance and security.

The AI Operations Engineer will build and maintain AI-powered tools for operations, collaborate with stakeholders, and handle multiple daily software releases.

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.

The Director, AI-Enabled DevOps Transformation will drive sales and growth in strategic accounts, manage client relationships, develop account strategies, and lead complex engagements in SDLC modernization and AI-enabled delivery.

The GenAI Platform Engineer will design, implement, and manage infrastructure for AI initiatives, oversee CI/CD pipelines, and ensure data pipeline performance while collaborating with cross-functional teams.

Lead large cross-team product and platform programs across Marketplace initiatives, focusing on planning, execution, risk management, and stakeholder alignment for successful delivery of technical projects.

The role involves developing backend systems with Java and Spring Boot, designing APIs, integrating AI features, and ensuring system performance and reliability.

The role involves advanced data analysis, proficiency in SQL and Snowflake, data visualization, and applying AI tools to extract insights.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.