Top Artificial Intelligence Jobs in Mexico

This role involves managing a team of AI Success Strategists to deliver AI-driven solutions, ensuring adoption, retention, and customer satisfaction through strategic execution and operational leadership.

The Senior Product Manager leads AI delivery initiatives, coordinating cross-functional resources, managing project resources and budgets, and ensuring alignment with company strategy and goals.

As an AI Engineer, you'll develop and maintain data pipelines, apply AI/ML libraries, design LLM-based workflows, and collaborate cross-functionally.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

The AI Software Engineer will design, develop, and optimize infrastructure for the Discrete NPU Model Zoo, focusing on computer vision, generative AI, and LLM workloads. Responsibilities include developing performance workflows, benchmarking pipelines, and utilizing deep learning architectures.

Lead the strategy and execution of AI-driven features in an enterprise platform, ensuring innovation, usability, and client trust. Collaborate with diverse teams to drive product vision and adoption.

As an AI Engineer, you will develop, deploy, and optimize machine learning models for real-time applications, collaborating with teams and ensuring model performance in dynamic environments.

The Senior Data & AI Lead will implement real-time analytics and AI technology to enhance organizational resiliency and compliance monitoring, transforming reactive processes into proactive strategies.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

Join Omilia as an AI GTM Engineer to build AI-powered workflows, manage integrations, and collaborate with Marketing and Sales to enhance productivity in revenue operations.

Design and build AI-driven automation and internal tooling to replace manual workflows, improve reliability, and scale IT/platform operations. Implement APIs, event-driven services, and CI/CD; apply LLMs for decision support and incident analysis; maintain systems with testing, observability, and on-call participation while collaborating with Security, Compliance, and Platform teams.

Lead client onboarding and GenAI-driven transformation for marketing and creative production. Build and manage a GenAI creative production team, drive adoption of Pencil Pro and AI workflows, translate AI concepts for clients, and optimize content automation and performance media strategies.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The role involves managing participant operations, optimizing onboarding processes, and aligning workflows with client needs in AI projects.

Design and implement backend systems in Node.js/TypeScript with product-oriented ownership. Build POCs, influence architecture, integrate AI tools to accelerate development, and improve QA, testing, and CI/CD to maintain release stability and reduce technical debt.

Design, build, and own AI-powered full-stack platforms and features end-to-end. Embed AI into customer-facing products and internal tools, drive ambiguous problem discovery to production rollout, ensure reliability/security, support incidents, and mentor team members.

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.

You will onboard new accounts, support clients with AI tools, and assist in enhancing their business through technology.

Design, build, and optimize scalable Databricks data pipelines and reporting models. Ensure data quality, create performant Jinja-templated SQL transformations, support CI/CD with GitHub/Jenkins, and collaborate with stakeholders to deliver actionable BI insights focused on advertising and billing data.

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.

The Senior Data Engineer + AI will design and optimize data architectures, develop data pipelines, integrate AI models, and mentor junior engineers while ensuring data governance and collaboration with data scientists.

As a Senior Backend Engineer, you will develop AI tooling to enhance engineering workflows, automate system migrations, and maintain CI/CD infrastructure.

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.