Top Machine Learning Jobs in Mexico

Build and improve ML platforms, tooling and infrastructure to support data scientists across AstraZeneca. Collaborate with DS teams, governance, and security to productionize ML at scale using DevOps, IaC, container orchestration, and parallel/GPU environments.

The Promoter Agencies Manager will oversee field marketing agencies to drive customer engagement and sales through a national demand generation strategy. Responsibilities include managing agency relationships, analyzing marketing metrics, and coordinating marketing initiatives.

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.

The Solutions Consultant will engage with customers to deploy Snowflake solutions, enhance internal tooling, and deliver outcomes for modernization projects.

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.

Lead end-to-end supply chain transformation engagements, advising executives and directing multidisciplinary teams to improve planning, procurement, logistics, inventory, and supplier performance. Design future-state architectures, build business cases, drive implementation, grow client relationships, and scale practice capabilities while delivering measurable operational and financial impact.

Lead end-to-end supply chain transformation engagements for commercial and utility clients. Advise executives, design future-state supply chain architectures, oversee implementation across planning, procurement, logistics, and analytics, build financial value cases, and manage multidisciplinary teams to deliver measurable operational and financial results.

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.

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

Lead statistical activities for clinical trials from protocol design through reporting. Provide statistical oversight, collaborate with cross-functional teams and CROs, apply SAS/R (and ML) for analyses, automate processes, and mentor junior statisticians.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, collaborate on machine learning models, and support analytics initiatives for various business teams.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

Mine and analyze internal and external datasets to create data-driven press hooks, visualizations, and social content. Collaborate with PR, data engineering, and growth teams to produce viral social posts, reports, and press materials using automation and AI tools to scale workflows.

Lead the AI Center of Excellence to define enterprise AI architecture and roadmap, design and implement GenAI and agentic solutions across cloud platforms, integrate AI with Oracle and Salesforce systems, establish ModelOps/security/governance best practices, run POCs and production rollouts, mentor teams, and collaborate with stakeholders to deliver scalable intelligent business systems.

Drive data-driven decision-making at the plant by building advanced analytics, dashboards, and visualizations to improve OEE and GCC. Analyze large manufacturing datasets to produce descriptive, diagnostic, predictive, and real-time insights, lead cross-functional problem-solving, support digitalization and DMS reporting, ensure data governance, and coach teams on analytics to support continuous improvement and plant leadership.

This role leads Business Transformation and Customer Experience, focusing on BPM and CI for organizational improvement, process management, and service design. Key responsibilities include establishing core capabilities, overseeing CI efforts, collaborating with GPOs, and enhancing customer experiences through data analysis and insights.

Design, develop, and maintain OTBI/BI reports and dashboards in Oracle HCM. Translate business needs into scalable reporting, ensure data accuracy, support AI-driven people analytics, automate reporting workflows, resolve reporting tickets with IT/HR stakeholders, and document standard operating procedures.

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.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Design, build, and maintain scalable data pipelines and architectures to ingest, store, and analyze industrial OT/IT data (PLC, SCADA, IoT). Ensure ETL/ELT processes, data quality, governance, and performance optimization to support OEE, KPIs, BI, and ML initiatives. Collaborate with engineering, data science, and BI teams across the full project lifecycle.

Create and review realistic, locale-specific robotics and natural sciences tasks in Spanish (LATAM), apply scoring rubrics, evaluate AI and human responses for accuracy and regulatory alignment, and produce gold-standard solutions and expert feedback.

Design, build, and maintain production-grade ML systems for large-scale legal NLP datasets. Develop and orchestrate ML/AI agents, prototype solutions, collaborate with cross-functional teams, and work with legal data annotators to improve data quality and drive product-focused outcomes.