Top Machine Learning Jobs in Mexico

The Machine Learning Engineer will develop machine learning models, optimize processes, and collaborate with engineers to enhance data analysis and automation.

This role focuses on designing and deploying AI/ML models for federal use cases, supporting model lifecycle management, and advising on ethical AI practices.

The Quantitative Analyst conducts quantitative research to inform investment decisions, collaborates with teams, and communicates insights effectively.

The Senior Data Scientist will leverage Python and SQL to analyze pharmacy data, recommend solutions, and enhance patient experiences through predictive analytics.

The Machine Learning Engineer will develop and deploy machine learning models, collaborate with teams, and contribute to experimental designs and product requirements.

Lead the Generative AI team at Xometry, developing and optimizing AI-driven solutions, mentoring team members, and enhancing machine learning capabilities.

Lead the Generative AI team by providing technical direction, developing AI-driven solutions, mentoring team members, and deploying generative models for document processing.

Lead hands-on technical leadership in machine learning engineering, mentor peers, oversee infrastructure delivery, and foster innovation in AI/ML solutions at Xometry.

Lead the Generative AI team at Xometry, focusing on developing and optimizing AI-driven solutions, generative models, and multimodal data processing.

Lead the Generative AI team to advance ML and generative AI capabilities. Develop and deploy models for document processing and mentor team members.

Perform applied research on diverse data sources to create predictive trading signals and lead signal research workflows in a remote team.

Develop and implement machine learning models, optimize algorithms, analyze data trends, and collaborate with cross-functional teams to enhance the platform.

Develop advanced generative models and reinforcement learning algorithms to optimize designs enhancing ecological processes bridging human and natural environments.

The Senior ML Engineer will develop ML algorithms, design models for real-time problems, conduct data analysis, and participate in SDLC, focusing on security and maintainability.

The Machine Learning Research Scientist will develop models for loan document analysis, collaborate with teams, implement solutions, and lead research initiatives in machine learning.

As a Machine Learning Engineer, you'll design, build, and deploy machine learning models to enhance user engagement at Penn Entertainment.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

Develop and optimize ML algorithms for fraud detection, risk modeling, and personalized experiences by leveraging large datasets and modern modeling techniques. Collaborate with engineering teams for deployment and monitoring.

The Staff Machine Learning Engineer will lead the technical strategy for generative recommenders, collaborating on developing personalized products, and providing expert guidance on ML model development in a cross-functional team.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.