Top Machine Learning Jobs in Mexico

The Business Solutions Manager will support reporting and analytics for NBCUniversal's Studio Group, engaging with stakeholders to enhance data-driven decision-making, overseeing technical teams, and managing application ecosystems.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models

The Principal Quantitative Analyst will develop analytical models, work with cloud-based solutions, and collaborate across business teams to enhance Capital Markets modeling and improve business performance using quantitative and machine learning methods.

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

As a Research Scientist, you will develop and deploy ML models, enhance valuation systems, and collaborate on data integration for improved decision-making.

As a Principal Architect, you'll guide technology choices, develop architecture roadmaps, create coding frameworks, and drive innovative solutions in cloud and related technologies.

Design and implement advanced data analytics solutions, collaborate on automation of data processes, and create interactive dashboards for decision-making.

Develop and implement advanced machine learning models for NLP and other tasks, collaborating with teams to deploy solutions in production.

As Director of Credit Risk, lead the development of credit risk strategies, oversee the credit lifecycle, and optimize loan performance while managing relationships with stakeholders.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

As a Senior Machine Learning Engineer, you will design and productionize machine learning models, collaborate with teams, and maintain high quality code.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

As a Supply Chain Data Analytics Co-op, you will work with a team to deliver analytics solutions, develop skills, and complete impactful projects.

Assist in delivering analytics solutions for supply chain including data engineering, predictive modeling, and dashboard creation while gaining industry experience.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.