Top Machine Learning Jobs in Mexico City

As a Principal Quantitative Modeler, you'll develop econometric and machine learning models for predicting credit risk and capital needs, collaborating across teams to enhance analytical frameworks and apply advanced quantitative methods.

As a Principal Associate Quantitative Analyst, you will enhance modeling frameworks, apply quantitative methods to improve performance, and collaborate on cloud-based analytical solutions.

As a Quant Researcher, you'll drive innovation in fixed income pricing, analyze market activity, enhance research models, and collaborate on data-driven solutions.

The Senior Economist will develop and enhance predictive modeling systems, leveraging ML to support strategic initiatives across departments, enhancing decision-making processes with data-driven insights.

Develop and maintain AI-powered forecasting models, apply machine learning techniques, and collaborate across teams to integrate intelligent systems into business processes.

As Vice President in Quantitative Research Sales Analytics, enhance trade idea generation, improve efficiency, and promote monetization using data analytics and quantitative skills.

The Director of Data Science will provide strategic and tactical data science support, develop AI/ML models, and guide brand strategy through analytics and insights in collaboration with commercial teams.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Quantitative Research Engineers at Citadel develop technology to support trading strategies, create research platforms, and work collaboratively in a technical environment.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The role involves researching and applying machine learning methods, developing models for NLP and related tasks, and collaborating across teams for production deployment.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

As an Associate in Equity Volatility Strategy Research, you will conduct quantitative research, implement back-testing, and collaborate with various teams to produce actionable trade ideas.

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.

Lead and manage technology risk audits, oversee audit execution, engage with stakeholders, and enhance audit team capabilities.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data for insights, manage client disputes, and collaborate across teams for effective risk management.

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

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.

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

As a Senior Associate in Fraud Risk Strategy, you will analyze data to identify and mitigate authentication and fraud risks across various channels while collaborating with cross-functional teams.

As a Vice President Data Owner Lead, you'll manage data governance, support analytics initiatives, and coordinate with partners to ensure data quality for business operations.

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

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