Top Machine Learning Jobs in Mexico

Support CAD tools and flows for HBM design, collaborate with design teams, and engage in mixed-signal IC design processes.

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%.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.

Operate and evolve SAN/SAR tooling (e.g., FSM/M5) and support migration to Dynamics 365. Troubleshoot incidents, monitor system health, prepare test and production environments, execute changes and automate routine tasks using AI/ML. Translate business needs into system requirements, support go-live and hyper-care, document solutions, and collaborate across global teams to improve reverse-logistics and supply-chain performance.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Lead end-to-end product ownership for AI-powered solutions (LLM and agentic experiences). Define vision and roadmap, translate strategy into EPICs and features, lead cross-functional teams, manage development lifecycle, analyze market trends, ensure delivery within budget and timelines, and communicate with technical and executive stakeholders.

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

Design and implement Industry 4.0 solutions (IoT, AI/ML, robotics, AR/VR, 3D printing, Big Data) to optimize operational and office processes. Integrate with ERP (SAP), MES, PLCs, robots and databases, ensure SOX compliance, support cloud and on-prem deployments, and develop BI/analytics solutions.

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.

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.

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 material flow, storage optimization, and advanced manufacturing initiatives across multi-site facilities. Design/implement AMHS, simulation models, digital twin solutions, ERP/MRP integrations, and lean manufacturing practices. Drive NPDI, product transfers, process standardization, OEE improvements, and continuous improvement projects while mentoring engineers and ensuring safety, quality, and measurable throughput/cost outcomes.

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.

Design, build, and own end-to-end unit-economics frameworks linking acquisition, multi-product lifecycles, reimbursement, and costs. Develop LTV/reimbursement models, attribution and pricing experiments, causal uplift models for churn interventions, and Monte Carlo simulations to stress-test business scenarios. Partner with finance, marketing, and operations and deploy production-grade models influencing strategic decisions.

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 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.