Top Machine Learning Jobs in Mexico

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.

As a Data Scientist, you will build algorithms, enhance data pipelines, and collaborate with teams to improve healthcare provider recommendations.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.

The Data Owner Senior Associate will manage data within key business applications, collaborate across teams, define critical data, and ensure data quality and governance.

The Senior Quantitative Analyst will define project objectives, manage projects, conduct data engineering, code, and ensure production compliance, while collaborating with stakeholders.

The Principal Quantitative Analyst will apply quantitative analysis, machine learning, and statistical modeling to analyze risk, build data-driven solutions, and communicate insights across teams.

The Vice President will develop pricing models for equity derivatives, implement analytics, and contribute to innovative trading strategies using quantitative techniques.

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

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

The Home Lending Portfolio Owner leads data strategy, governance, and integration, enhancing product delivery and analytics to achieve strategic objectives and protect data quality.

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 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.

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

The role involves delivering timely and accurate securities reference data, resolving data issues, and participating in stakeholder meetings to enhance product offerings.

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.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.

The intern will support the development of AI-driven solutions for decarbonization, building models, and integrating sustainability data.

Lead predictive model development and MLOps practices to enhance product performance, collaborate with cross-functional teams, and mentor junior data scientists.

This role involves personalizing recommendations for retailers using machine learning, leading technical strategy, and driving significant business impact.

As AVP, Data Scientist at Axos Bank, you will analyze retail loan data, develop underwriting tools, and mentor junior analysts. You will collaborate with business leaders to optimize loan performance and support decision-making through data insights.