Top Artificial Intelligence Jobs in Mexico City

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

The Tech Lead will define and oversee the technical architecture of digital solutions, lead development teams, ensure security and quality standards, and promote a collaborative and continuous improvement culture.

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

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

The FBS Data Analyst will build dashboards, analyze transcription data, ensure data quality, and create NLP insights while liaising between business and IT teams.

As a Fullstack Developer, you will design and maintain software solutions using TypeScript, NodeJS, and NestJS, alongside collaborating with agile teams and integrating LLMs.

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

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.

The AI Solutions Strategist will drive AI opportunities, consult with clients on AI solutions, and support sales strategies while designing scalable architectures.

The AI Specialist, Customer Success drives AI adoption and customer engagement, ensuring customers achieve business outcomes with Zendesk's AI solutions through proactive management and collaboration.

Lead and architect AI product development using LLMs, mentor engineers, and drive user-focused innovations and product strategies for Dia's AI capabilities.

Lead architectural design and technical strategy for open-source AI solutions, ensuring successful delivery and client engagement while providing technical advice and risk management.

Lead Data Scientist will design and implement AI solutions, managing a portfolio of AI projects with a focus on improving healthcare outcomes using analytics.

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

The role involves designing scalable generative AI systems, mentoring engineers, and collaborating on architectural decisions in a Kubernetes environment.

As a Senior SDET, you'll design and execute test plans for backend services and APIs, lead AI-driven testing initiatives, and mentor QA peers.

The AI Principal Engineer will define the product vision, drive AI features' development, mentor engineers, and ensure top-notch technical architecture at Improvado.

Lead GTM systems strategy focused on AI workflows, team management, data governance, and cross-functional alignment to enhance operational efficiency across revenue teams.

As a Senior AI Engineer, you'll design, implement, and optimize AI solutions focusing on NLP and computer vision, mentor junior engineers, and drive MLOps excellence.

Lead the product function and AI strategy at Paper, scaling its tutoring solutions while ensuring ethical and effective use of AI to enhance student outcomes. Collaborate with stakeholders to define the product vision and metrics, mentor teams, and drive innovation.

The Sr. AI Engineer will design and implement scalable machine learning models, optimize ML operations, and mentor team members while collaborating across departments to enhance AI-driven features.

The AI Innovation Specialist will enhance operational efficiency via automation and AI tools, collaborating with various departments to improve processes and workflows.

As a Python Developer in AI & Automation, you will design, develop, and implement Python applications and automation solutions while collaborating with data scientists and DevOps engineers.

The Solutions Architect will design and implement AI solutions using NVIDIA technologies, support sales with technical expertise, and provide client training in a remote setting.

Seeking established no-code development agencies to create AI-driven solutions, collaborate with teams, and innovate user experiences across platforms.