Top Artificial Intelligence Jobs in Mexico

The Site Engineer will manage site activities, conduct surveys, plan installations, ensure compliance with safety and quality standards, and utilize data analytics.

Provide technical support to customers via phone, chat, and email. Troubleshoot technical issues, guide users through solutions, and document resolutions. Foster collaboration and share knowledge within the support team while maintaining high customer satisfaction.

The Data Annotator will analyze live videos for risk identification and support AI/ML model training by generating accurate training datasets. Requires good communication, attention to detail, and ability to collaborate in a 24/7 environment.

Responsible for building and deploying AI solutions and data science products. Collaborate with teams on software development and integration of AI models, while maintaining CI/CD pipelines and visualization tools.

The role involves leading the development of AI and data science products, defining roadmaps, integrating solutions, and managing projects to enhance analytics capabilities.

The Product Owner will drive development of web platforms, manage the product lifecycle, prioritize backlogs, and ensure products meet business goals.

The Technical Product Manager will own the core Identity experience, drive product strategy, collaborate with cross-functional teams, and ensure data integrity in user verification processes.

As the Identity Product Manager, you'll own the strategy and execution of identity verification and onboarding, collaborating with cross-functional teams and leveraging AI to enhance user experience and security.

The Technical Product Manager will lead the identity verification experience, managing product strategy, data architecture, and cross-functional collaboration, while analyzing metrics and driving AI innovations.

The Principal, Information Governance Advisor will drive business growth, manage high-impact engagements, and mentor junior consultants, focusing on information governance solutions.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

The Senior Technical Project Lead will lead AI and Automation projects, acting as a Scrum Master, managing team workflows, and communicating with executives to drive project success.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Vendor Marketing Manager will lead regional marketing strategy and execution for Cisco, ensuring alignment with distributor business priorities and driving demand generation and brand growth.

Lead the development of AI self-service platforms to enhance customer experience, focusing on performance analysis, strategic collaboration, and innovation in conversational AI.

The role involves collaborating with client teams on data integration, improving product architecture, developing pipelines, and providing technical expertise to ensure client success with BrazeAI.

The role involves collaborating with clients on data science projects, improving product capabilities, developing ML models, and ensuring customer success.

The Marketing Consultant II role involves managing B2B marketing initiatives, developing consumer content, leading cross-functional teams, and optimizing marketing strategies using data insights.

The Director Executive Credit will lead the credit lifecycle for SME lending, focusing on profitability, risk modeling, and operational efficiency while fostering team development and regulatory compliance.

The Senior Business Analyst will gather and document requirements, support fiduciary system implementations, and analyze regulatory and operational reporting.

The Senior Research Analyst will lead supply analysis in the oil sector, contribute to methodologies, and present findings to clients, while collaborating across teams.

The Senior Presales Engineer will collaborate with sales and solutions teams to design multi-product solutions, influence product strategy, and document technology trends while leading complex sales cycles.

The AI Software Engineer will design, develop, and optimize model zoo infrastructure for computer vision, generative AI, and LLM workloads, including building models, automating processes, and conducting performance evaluations.

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.

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.