Top Machine Learning Jobs in Mexico

The Human Data Operations Manager will design annotation workflows for ML, establish data benchmarks, and partner with cross-functional teams to enhance evaluation processes.

Lead the ML privacy vertical, developing algorithms to prevent data leakage, conducting evaluations, and collaborating with engineers to deliver applications.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

The role involves applying quantitative analytics to influence business strategies, managing risk, and developing innovative analytics for mortgage performance.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

The Director of Data Services will lead the data lakehouse strategy, ensuring data quality and governance for product offerings, partnering across teams to enhance data accessibility and ML functionalities.

The Director of Fraud will lead Rho's fraud strategy, develop a team, and implement advanced fraud detection systems to minimize risk and losses.

Lead Rho's fraud strategy by implementing prevention and detection frameworks, managing a fraud team, and collaborating across departments to minimize fraud risks.

Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.

Oversee the data and analytics function, leading teams to develop data products and strategize data-driven decisions. Manage projects and resources for achieving business objectives.

As a Research Engineering Intern, you will develop scalable ML solutions, collaborate with a global team, and innovate using modern software practices.

Lead the development of data strategies for coding capabilities and cybersecurity. Manage vendor relationships and oversee the data pipeline, focusing on strategy and execution while ensuring data quality.

The Business Analyst will define requirements, lead UAT, analyze issues, and improve team efficiency in emerging technology projects, especially focusing on AI.

The Data Scientist at Parafin will lead data-driven projects, providing insights for growth, product development, and financial modeling while collaborating across diverse teams.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

The Market Research Analyst will uncover customer insights, analyze industry trends, and collaborate across teams to inform product strategy and market positioning.

Lead the development and deployment of AI/ML solutions for payment processes, optimize customer experience, and enhance fraud detection through collaboration with cross-functional teams.

Develop and refine self-adaptive machine learning models for trading systems, collaborating with engineers to deploy solutions and improve performance. Embrace marketplace uncertainty to enhance decision-making processes.

As a Machine Learning Engineer, you'll develop and deploy ML models to enhance user acquisition and engagement for Whatnot's Buyer Growth team.

The Senior Crude Market Analyst enhances trading capabilities through supply and demand models, market intelligence, and machine learning applications for oil analytics.

As a Data Scientist at Middesk, you'll build and improve data products, derive insights from data, and shape strategies for risk solutions while leading the data science function.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead and manage a team of data professionals in delivering analytics solutions, improving business insights, and fostering partnerships with various stakeholders.