Top Machine Learning Jobs in Mexico

Support CAD tools and flows for HBM design, collaborate with design teams, and engage in mixed-signal IC design processes.

Support global Hardware Services by operating and improving SAN/SAR tools (e.g., FSM/M5), monitor repair and replacement orders, resolve basic system incidents, track logistics KPIs, assist migration to Dynamics 365, support testing and cutover, propose automation/AI improvements, and document procedures while collaborating across teams.

Deploy, configure, tune, and support CrowdStrike Falcon AI/ML detection and response capabilities. Optimize ML models, build automation playbooks, integrate AI into customer workflows, develop Falcon API scripts, support incident response and threat hunting, and deliver AI training and customer-facing collateral. Travel up to 25%.

Operate and evolve SAN/SAR tooling (e.g., FSM/M5), troubleshoot incidents, monitor system health, translate business needs into configurations, prepare test/production environments, support migration to Dynamics 365, and identify automation/AI opportunities while improving procedures and documenting solutions.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

Design and implement Industry 4.0 solutions (IoT, AI/ML, robotics, AR/VR, 3D printing, Big Data) to optimize operational and office processes. Integrate with ERP (SAP), MES, PLCs, robots and databases, ensure SOX compliance, support cloud and on-prem deployments, and develop BI/analytics solutions.

Develop, design, and troubleshoot software components as part of an agile team. Write secure, high-quality code, apply SDLC and automation tools, analyze data to identify issues, and contribute to system stability and scalability while learning cloud, AI/ML, and mobile technologies.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Lead and grow an engineering team building fraud detection and risk management systems. Deliver high technical quality across APIs, services, and user-facing experiences; recruit and develop engineers; drive cross-functional execution with product, infra, and strategy; and set long-term platform and product direction to improve merchant experience and reduce friction.

Lead design, build, test, and operationalize scalable ServiceNow solutions with AI-enabled workflows, integrations, CI/CD, automated testing, and telemetry. Establish engineering patterns, guardrails, and reusable components; mentor teams and measure business value and adoption.

Entry-level MLOps engineer who designs, builds, and supports end-to-end ML pipelines. Responsibilities include model deployment, versioning, monitoring, data preprocessing, feature engineering, debugging pipeline and model issues, participating in code reviews, and maintaining technical documentation.

Analyze and transform manufacturing and industrial engineering data into actionable insights using statistical analysis, machine learning, and AI. Build and deploy predictive models, dashboards, and reports; integrate data from enterprise systems; ensure data governance and quality. Support work measurement, standard time, capacity planning, simulation, digital twin initiatives, Industry 4.0 deployments, and collaborate with operations to implement process improvements.

Analyze large federal and state economic datasets, automate data collection and scraping, and rapidly publish clear, data-driven reporting on market-moving indicators. Collaborate with reporters and visual journalists, file public-records requests, and use emerging technologies including AI to enhance real-time coverage.

The Manager, Demand Planning leads a team to improve forecast accuracy, working collaboratively with various departments and utilizing data science.

Analyze operational workflows to identify automation opportunities; design, build, test, and maintain automated workflows and AI-enabled solutions; partner with stakeholders to gather requirements; document processes; monitor and optimize automation performance; support change management, training, and reporting on efficiency and quality improvements.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Lead local implementation of analytics and generative AI roadmap: translate business needs into scalable AI solutions, partner with stakeholders, drive adoption through training, track use-case performance, ensure data governance and Responsible AI compliance, and support planning and documentation of initiatives.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Director of Research will lead DataLab at Protege, defining the research agenda and managing a high-performing team focused on AI data challenges and methodologies.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

Lead and define architecture, oversee scrum delivery, delegate tasks, supervise system changes, conduct security audits, liaise with stakeholders, write reports, and hire/train technical staff for scalable backend and data/AI solutions.

Design, develop, and implement automation, AI-enabled, and software solutions to streamline proposal engineering processes. Identify repetitive tasks, build desktop and web integrations, implement APIs and cloud services, partner with stakeholders, and ensure secure, maintainable solutions following governance and quality standards.

Lead complex AI and analytics projects using Palantir Foundry to translate Finance and Lead Gen needs into operationalized ML solutions. Work across data modeling, mining, visualization, and model implementation; validate results with stakeholders, improve data quality, and document models for reuse and scale.