Top Machine Learning Jobs in Mexico

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.

Design and enable AI-enabled, low-code digital ecosystems for manufacturing. Develop governance, integrations (SAP/MES/IoT/APIs), dashboards, and data pipelines. Coach citizen developers, drive prototypes, ensure cybersecurity and data governance, and collaborate with Manufacturing, Quality, Supply Chain, and Operations to deploy automation and analytics solutions.

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%.

Design, build, and deploy generative AI models and intelligent agents to automate legal workflows (contract analysis, risk assessment, document generation). Integrate solutions with enterprise systems (ERP, CLM, data lakes) via APIs, ensure security, scalability, and auditability, create dashboards and AI-driven reports, and provide technical leadership working with legal stakeholders, data scientists, and engineering teams.

Develop and maintain customer-facing Tableau reports, collaborate with customer service and development teams to scope and model data, ensure data accuracy, analyze complex datasets, and communicate actionable insights to stakeholders.

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.

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

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.

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.

Support the full data workflow: ingest and structure data, perform cleaning and validation, run exploratory analysis and visualizations, assist with ML/DL experiments and model evaluation, and contribute to predictive maintenance and ERCOT market analytics projects.

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.

Support development and validation of forecasting, optimization, clustering, anomaly detection, and generative AI models. Prepare and analyze data, assist with model monitoring and retraining, and collaborate with senior data scientists on live enterprise deployments while learning production best practices.

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.

Act as liaison between clients and project teams to elicit business requirements, convert them into data-driven and AI use cases, coordinate data architecture, modeling, engineering and science efforts, facilitate agile ceremonies, support testing and UAT, monitor project progress, and document user manuals and training materials.

Lead design-for-manufacturing efforts to optimize and scale production processes for medical devices. Conduct root-cause analysis, design experiments, validate changes to ISO 13485, integrate advanced manufacturing technologies, set KPIs, and support global and local teams through implementation and product launches.

The Lead Metallurgist will oversee mineral resource evaluation, ensure quality control, audit geometallurgical models, and provide technical leadership, focusing on optimizing mine operations through advanced modeling and collaboration with teams.

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.

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.

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.

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.