Top Machine Learning Jobs in Mexico City

Operate AI-assisted identity migration and demonstration pipelines, review and validate LLM-generated analyses and configurations, and remediate SailPoint Identity Security Cloud environments. Troubleshoot pipeline and product issues, create sales-ready deliverables, support proof-of-value engagements, and improve agentic tools, prompts, playbooks, and evaluation processes. Collaborate with sales, solution engineering, product, professional services, customer success, and forward-deployed engineering teams.

Leads product growth and digital insights for a business application, owning local product strategy, roadmap prioritization, discovery, requirements, and stakeholder alignment. Manages an AI and machine learning personalization squad developing recommendation, cross-sell, and upsell models. Owns data management, analytics, experimentation, impact measurement, and business insights to support data-driven decisions. The role bridges business, technology, and data teams across regional environments.

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 end-to-end delivery of complex AI client projects, translating evolving requirements into project scopes, delivery plans, and successful human data programs. Manage client relationships, cross-functional coordination, risks, quality, timelines, budgets, profitability, and delivery metrics. Partner with Sales, Operations, Product, and Engineering while improving scalable processes for AI project execution.

Lead commercial, privacy, and product legal functions for a cloud technology company. Draft and negotiate enterprise SaaS, partnership, reseller, and other technology agreements; advise on global privacy, data protection, AI, intellectual property, and product development; build legal playbooks and scalable contracting processes; and partner with Sales, Product, Engineering, Security, Compliance, and executive teams. Manage, mentor, and develop legal professionals while overseeing complex transactions and regulatory risk.

Owns the design, development, deployment, and support of Snowflake data models, Streamlit applications, BI reports, and AI-powered data products. Integrates machine learning models, RAG endpoints, and agentic LLM services into reliable user-facing tools. Partners with data scientists, engineers, and go-to-market stakeholders to translate business needs into trustworthy analytics solutions for a B2B SaaS organization.

Own strategy for a reusable lending platform and identity data platform. Define identity and authentication flows, data schemas, and API design. Align engineering, fraud, compliance, and partner banks. Drive KPIs, AI-enabled identity decisioning, and platform adoption. Start as a strategist and build a team to scale lending products.

Manage portfolio performance using SQL and Python/R to analyze large datasets, recommend pricing, controls and policies, partner with Data Science to implement ML/AI models, run A/B tests, document recommendations, and own risk KPIs for one or more portfolios.

Analyze HR and people data to create clear narratives, reports, and dashboards that support business decisions. Partner with HR, IT, and data strategy stakeholders on scalable reporting solutions and AI-driven analytics initiatives. Maintain data accuracy, document automated workflows, translate business requirements, and communicate insights effectively to technical and business audiences.

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.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Lead XPENG Mexico’s public relations and communications strategy, including media relations, influencer partnerships, crisis management, product launches, experiential PR, technology storytelling, executive thought leadership, and agency oversight. Build the company’s reputation as an AI mobility and technology leader while coordinating with Sales, Product, PR, and global headquarters. Manage influencer budgets, measure campaign ROI, and translate complex AI and EV innovations into compelling local narratives.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Leads the plant’s automation, controls, robotics, and digitalization portfolio for blade manufacturing. Responsibilities include designing and specifying automated systems, programming robotic and PLC-based controls, modeling solutions, managing suppliers, executing validation and commissioning, completing safety assessments, and handing systems over to Production and Maintenance. The role establishes technical standards, applies manufacturing readiness frameworks, uses analytics, SPC, and AI-based process monitoring, manages capital projects, mentors technical teams, and supports continuous improvement and operational excellence.

Leads the Advanced Manufacturing Engineering team and molding technology strategy for composite blade manufacturing. Directs process development, testing, validation, industrialization, automation, data analysis, technology roadmaps, supplier performance, and capital planning. Oversees molding processes including mold preparation, gel coat, fiber layup, resin infusion, curing, and bonding. Develops engineers, manages project portfolios, ensures technical documentation and change control, and drives safety, quality, cost, productivity, and operational excellence improvements.

Develop product positioning, messaging, content, and go-to-market assets for an AI training data platform. Lead end-to-end product, vertical, DataLab, and commercial launches; translate complex AI and data concepts for technical buyers; create thought leadership, case studies, decks, webinars, videos, social content, and landing pages; and partner with Product, Sales, DataLab, Community, and business leaders to strengthen market narrative and support commercial growth.

Designs, develops, integrates, and deploys intelligent solutions using machine learning, deep learning, generative AI, and LLMs. Builds production-ready AI applications, RAG pipelines, and NLP systems; manages model evaluation, optimization, monitoring, versioning, and deployment. Collaborates with engineering, product, and data teams in a distributed environment while emphasizing scalability, maintainability, testing, observability, responsible AI, and cost efficiency.

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.

Build end-to-end products from frontend React UIs to backend Python/FastAPI APIs. Develop and productionize Python-based ML/NLP pipelines and model inference APIs. Manage data processing workflows, containerization (Docker/ECS/Fargate), CI/CD, and cloud deployments (AWS or cloud-agnostic). Collaborate in agile teams and focus on scalable architecture and ML productionization.

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.

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.

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.

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.

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.