Top Machine Learning Jobs in Mexico

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.

This role manages the content pipeline for blogs and social posts, coordinating with teams to promote Capital One's technology leadership and drive engagement.

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.

Design and deliver complex GIS data engineering and ingestion projects. Transform, integrate, and maintain large-scale geospatial datasets using FME, ArcGIS, QGIS, Python, SQL, Oracle, and PostgreSQL. Assess risks for bulk ingestion, provide spatial data consultancy, improve processes and workflows, collaborate cross-functionally, and mentor junior colleagues.

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

The Domain Support Specialist ensures technical capability in Automated Operations, monitoring service performance, managing maintenance activities, and providing technical support for 5G and LTE technologies while performing system administration tasks.

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%.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The Associate will develop quantitative models, integrate AI methodologies, aid in portfolio construction, and conduct risk analysis within multi-asset portfolios.

Develop integrated software algorithms and data-driven monitoring/analytics systems. Work with large-scale computing frameworks, apply machine learning and statistical modeling, translate customer requirements into solutions, document installation/maintenance procedures, and solve complex problems with a security-first mindset.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

The role focuses on optimizing manufacturing operations via digital technologies, utilizing tools like automation, data analytics, and machine learning to enhance efficiency and reduce costs.

As a Data Scientist at Zicasso, you will analyze complex datasets, develop predictive models, and optimize customer experiences using AI and machine learning techniques, while collaborating with cross-functional teams.

Implement, maintain, and troubleshoot Workday integrations and HCM configuration. Design AI-powered automation and validation for HR processes, build custom reports and dashboards, ensure data quality, collaborate with HR/payroll/talent and external vendors, and support deployments and user documentation.

Lead strategy, roadmaps, and go-to-market for multiple AI products. Drive product discovery, analytics, pricing, and adoption; mentor Senior PO and cross-functional teams to deliver AI features and commercial impact.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Develop tools and frameworks for performance test automation and observability in cloud environments. Implement monitoring and performance strategies in Azure DevOps, build AI/ML-based utilities, design scalable cloud applications, optimize security and performance, and support DevOps deployment and testing workflows.

The Research Engineer will build training infrastructure and reward pipelines, fine-tune models, bridge RL with LLMs, run fast experiments, communicate findings, and collaborate with the research team at Firecrawl.

Design, architect, and implement scalable, highly available software across digital channels. Participate in agile ceremonies, write and review code, create engineering specifications and user stories, mentor junior engineers, and drive technical execution and system architecture decisions using modern languages and cloud platforms.

Lead and manage internal sensory laboratory operations and studies for LATAM, designing and executing sensory and consumer research, ensuring data quality and statistical analysis, delivering insights and recommendations to R&D, Marketing and business partners. Maintain lab standards and audits, mentor personnel, conduct benchmarking and competitor evaluations, and apply human-centered design and emerging analytics (AI/ML) to support product, packaging and equipment development.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

Lead strategy, roadmap, and lifecycle of an observability platform for retail infrastructure. Define telemetry collection, processing, analytics, and AI-driven operational insights. Own product lifecycle, collaborate on architecture, ensure high-volume telemetry ingestion, and enable ML-powered anomaly detection, correlation, predictive failure, and automated root-cause analysis.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

Lead high-impact customer pipelines for Scale's Generative AI unit: design data taxonomies, build pipeline infrastructure, manage global teams, create analytics, partner with Engineering/Product/Ops/Go-to-Market, and report to executives to drive multi-million dollar revenue growth.