Top Machine Learning Jobs in Mexico City

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

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%.

Design analytical data layers and define business variables for financial use cases. Develop statistical and machine learning models, establish scalable methodologies, translate financial needs into explainable models and analytical tools for pricing, liquidity, and customer behavior.

Lead strategy, vision, and roadmap for a cross-functional squad across Everand and Fable. Drive product development for recommendations, search, and ranking systems, balance experiments and large investments, partner with engineering, design, research, and data to ship features that help readers discover books.

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.

Lead AI product vision, strategy, and roadmap; prioritize initiatives, manage backlog, translate requirements into user stories, and drive adoption of LLMs, RAG, semantic search, and enterprise knowledge solutions while ensuring Responsible AI and governance.

Partner with LATAM sales to lead technical discovery, deliver demos and POCs, design solution architectures, resolve technical blockers, and support integrations across Telnyx products (voice, messaging, wireless, networking, storage, and AI). Act as technical expert through the sales cycle and convey technical value to both technical and executive audiences.

Own end-to-end operational health for payment partners in Mexico, monitoring KPIs, troubleshooting integrations, analyzing large datasets, and driving improvements in payment flows, routing, and partner performance. Lead RCAs, build dashboards, present executive BEAT reports, and support product and growth teams with data-driven insights and automation/AI initiatives.

As part of the data science team, you will analyze insurance data, create mathematical models, and optimize algorithms based on client feedback.

The Salesforce Developer will design scalable solutions, write code using Apex and LWC, leverage AI for productivity, and ensure application performance while collaborating with various stakeholders.

Lead strategic enterprise sales for a major financial client: build C-suite relationships, design tailored SaaS analytics solutions, negotiate complex multi-million-dollar deals, advocate client needs internally, drive account expansion and meet quarterly/annual sales targets. Requires collaboration across sales, product, delivery, and marketing and travel up to 50%.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

Support PayJoy's Strategy & Corporate Development team by building complex Excel financial models, evaluating M&A and investment opportunities, conducting market and performance analysis, designing executive presentations, and coordinating cross-functional due diligence to inform strategic decisions for new markets, products, and investments.

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.

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.

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.

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.

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.

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.

The Global Privacy Counsel will lead the data protection strategy for TaskUs, ensuring compliance with global privacy laws, overseeing privacy initiatives across product development, managing third-party vendors, and leading the privacy team.

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.

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.

Lead development and optimization of composites molding processes, execute engineering test plans, apply SPC and data analytics for root-cause and capability improvements, collaborate across Technology, Quality, Production, and Customers, mentor engineers, and implement manufacturing readiness and automation technologies. Requires on-floor presence and up to 25% travel between US and Mexico.

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.

The Machine Learning Researcher will design datasets and evaluate environments for agentic systems, focusing on data quality and benchmarking model performance in RL settings. They will collaborate with teams to translate workflows into evaluative frameworks and improve the understanding of high-quality datasets.