Top Machine Learning Jobs in Tijuana

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.

The Senior Manager, Quantitative Analysis will validate economic forecasting models, enhance technical skills, and influence business strategies using quantitative analysis.

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

As a Fraud Data Analyst, you'll analyze data to prevent device fraud, enhancing detection strategies through Python, SQL, and visualization tools, while collaborating with teams to develop fraud prevention rules.

The Vice President Data Owner Lead will shape data strategy, oversee business data management, and ensure data quality and compliance across operations.

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

The Risk Management - Model Risk Program Associate will conduct model validation, assess risks, communicate findings, and improve model development practices.

The Manager, Internal Audit - AI Strategy & Innovation will lead AI integration in auditing, drive innovation, and oversee deployment. Responsibilities include defining AI strategy, developing pilot programs, collaborating with teams, managing vendor relationships, and training staff on AI tools.

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.

The Senior Internal Auditor will handle audit engagements, evaluate management controls, communicate findings, and drive efficiencies in processes through technology.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

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

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

As Quant Analytics VP, manage data analytics projects, collaborate with various teams, and drive insights to improve customer experience. Lead a team in strategic analysis and solution development, enhance analytics processes, and communicate findings to executives.

Lead a team of data scientists to deliver innovative machine learning solutions for a data-driven financial product at Capital One.

As a Manager of Quantitative Analysis, you will lead model audits, apply machine learning and statistical methods to enhance modeling practices, and communicate insights effectively across teams.

The Senior Associate in HR Data Management will handle data classification and security, architecting access control models, improving governance, and collaborating with teams to enhance data processes and deliver impactful presentations.

As Chief Data Officer, you'll define the data strategy, oversee governance frameworks, and lead the team to leverage data for business insights and compliance.

The Chief Data Officer leads data strategy, governance, architecture, and analytics, ensuring data quality and compliance while fostering a data-driven culture across the organization. They oversee a global team and drive data initiatives aligned with business goals.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.