Top Machine Learning Jobs in Mexico City

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%.

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.

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

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.

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.

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.

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.

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 planning, execution and delivery of commercial digital products for LATAM. Translate business needs into technical requirements, set product strategy and roadmap, maintain backlog, drive adoption and change management, collaborate with engineering and stakeholders, and measure product value and utilization.

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.

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.

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.

Combine industry research and market analysis for oil supply with technical ownership of data, modelling and automation workflows. Build, refactor and automate data pipelines, improve legacy codebases, support forecasting models and client-facing research, and apply modern data tooling and AI to enhance analytical workflows.

Work with the data science team to understand insurance data and fraud, build and optimize mathematical models and algorithms, implement production-quality code, participate in client workshops to gather feedback, and propose continuous improvements.

Lead full presales cycle for cloud, data, and AI deals; design AWS-based solutions; manage pipeline in Salesforce; engage CTOs and execs; develop GTM assets; mentor and grow a high-performing team; drive US cultural and technical process adoption across regional branches.

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.

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 Salesforce product initiatives for Channel and Enterprise sales: gather and document requirements, build roadmaps, define solutions, drive implementation, enable adoption, produce reports, and partner with sales, sales ops, IT and enablement to improve selling effectiveness and reduce CRM admin burden.

Lead launch of Mexican ferrous markets reporting and price forecasts. Build data-driven supply-and-demand models for Mexican steel, DRI, and ferrous scrap. Produce market intelligence, client presentations, and published notes. Collaborate with global analysts, support sales for business development, and document research methodologies.