Top Artificial Intelligence Jobs in Mexico

As an AI Software Engineer, you will develop and optimize model-zoo infrastructure for computer vision and AI workloads, working primarily with Python and C++. Responsibilities include scaling models, automating testing, and building demos, while collaborating on LLM, VLM, and CNN models.

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.

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

As a Senior QA Automation Engineer at DaCodes, you will design and maintain test automation frameworks, integrate AI tools into QA workflows, and collaborate on QA strategies. You'll track quality metrics and ensure product reliability in fast-paced environments.

As a Staff AI Data Engineer, you'll lead AI-powered improvements in workflows, design data foundations, and ship evidence-first AI pipelines while ensuring data governance and privacy.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

As a Customer Support Expert, you will respond to customer inquiries via social media and email, providing excellent service on behalf of various brands.

As a 3D Artist at AssetHub, you will create high-quality 3D models using AI tools within an offshore production workflow, collaborating with a global team.

Lead the mobile software development team to integrate AI tools into mobile applications, modernize architecture, implement testing strategies, and mentor developers.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The IA Operations Executive aids in onboarding new client accounts, builds AI assistants, aligns client requirements, and ensures successful implementation processes.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

Design and optimize AI models, deploy solutions on cloud platforms, and collaborate on AI enhancements while staying updated with industry advancements.

The AI Engineer evaluates and integrates Veeva and generative AI systems, focusing on ensuring compliance and enhancing enterprise workflows, while collaborating across teams.

The role involves manual testing of 3D software, writing test plans, tracking defects, validating AI-rendered content, and collaborating with team members.

Seeking an AI Engineer to develop AI solutions for ERP interoperability using OpenAI and ChatGPT, enhancing customer experience and collaborating on features.

Design high-impact ML models, optimize deep learning models, process unstructured data, and deploy models in a remote environment. Requires expertise in AI and Python.

Design and develop workflow automations utilizing AI and integrations. Collaborate with stakeholders to enhance service delivery and efficiency in business processes.

As an IS CX Solution Architect for AI, you will design, develop, and oversee AI solutions for consumer experience, ensuring alignment with enterprise standards and collaborating with various teams to deliver optimal outcomes.

The role involves designing and implementing GenAI and MLOps solutions, developing production-ready ML code, and collaborating with Data Science teams to integrate AI models. It demands hands-on experience in data processing, cloud architectures, and AI concepts.

As the AI Lead, you will build and mentor a multidisciplinary AI team, directing technical execution and architecture of AI systems for robotics, including deep learning and MLOps.

As a No-Code Automation Specialist, you will design, implement, and monitor production-grade automations using tools like GoHighLevel and Zapier, ensuring data hygiene and providing clear documentation.