Top Machine Learning Jobs in Tijuana

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

Lead a team to develop strategic analytics for sales, customer success, and services. Drive data-informed decisions to improve revenue growth and customer experience through advanced analytics and reporting.

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.

The role involves developing quantitative models, leveraging cloud-based solutions, and applying machine learning to improve financial performance and decision-making.

The Data Owner Director will lead data strategy for Deposits products, ensuring data quality, supporting analytics, and mitigating data risks while collaborating with stakeholders to drive business objectives.

Lead the design and implementation of data platforms, drive data engineering practices, manage teams, and develop actionable data-driven solutions in a retail environment.

The Senior Lead Data Architect will develop and govern data architecture solutions, ensuring compliance with data policies while leading data governance strategies and collaborating with teams to implement high-quality models.

The Vice President is responsible for overseeing document governance, compliance, risk management, and collaboration across various departments to meet legal and business standards.

The role involves developing and optimizing machine learning models, collaborating with teams, and building scalable data pipelines to enhance customer experiences at Qualtrics.

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