Top Machine Learning Jobs in Mexico City

As a Data Engineer, you will build and operationalize complex data solutions, analyze data sources, design data solutions, and collaborate with teams to enhance data products. You'll leverage your analytical skills to modernize data practices and ensure data quality.

As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.

The Head of Enterprise Data Technology is responsible for defining and executing the technical strategy for data and analytic needs at M&T Tech. This leader works with stakeholders to develop an enterprise data roadmap, integration strategies, and centralized data solutions while interacting with senior leaders to align data initiatives with corporate objectives.

The Lead Data Scientist, ITS will develop and refine predictive models, collaborate with cross-functional teams to gather requirements, and drive data products to production. This role involves creating algorithms to solve business problems, conducting experiments to identify data anomalies, and leading projects to deliver data-driven results.

The Staff Data Scientist on the Anti-Cheat team will develop models and maintain automated systems to detect and mitigate cheating in games. Responsibilities include analyzing challenges, designing feature sets, mentoring junior staff, optimizing ETL pipelines, and collaborating with stakeholders and data engineers.

As a Senior Data Scientist, you will leverage your expertise in machine learning and statistical analysis to develop algorithms and models that optimize marketing campaigns and improve customer loyalty. You will collaborate with cross-functional teams to design and implement data-driven solutions, analyze large datasets, conduct A/B testing, and mentor junior team members.

As Sr. Director of Analytics at MERGE, you will lead analytics initiatives to improve media and digital investments, guide a team in implementing analytics frameworks, and leverage data-driven insights for enhanced user experiences. You will strategize around performance measurement, oversee tagging and tracking, and develop actionable recommendations to support client objectives.

The Sr. Director of Analytics will lead analytics initiatives to enhance client media and digital investments by implementing frameworks, measuring performance, and providing data-driven insights. This role involves overseeing a team, driving service evolution, and developing client-specific strategies to improve user experience and marketing effectiveness.

As Sr. Director of Analytics at MERGE, you will lead analytics initiatives to enhance media and digital performance, guiding a team to implement analytics frameworks and drive insights. You will focus on conversion optimization and oversee tagging and tracking for accurate data collection, aiming to improve user experiences and business outcomes.

The Sr. Director of Analytics will lead analytics initiatives, implement measurement strategies across digital media, websites, and apps, guide a team in data-driven insights, and optimize user experiences. Responsibilities include analytics strategy development, performance measurement, and business intelligence to enhance client marketing effectiveness and business growth.

As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models aimed at assessing risks associated with various businesses. You will process structured and unstructured data from diverse sources to generate actionable insights, working collaboratively in a two-week sprint format with a focus on project ownership.

As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.

As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.

Manager of Generative AI team responsible for managing and leading researchers and engineers. Leverage expertise in LLMs and generative models to create AI roadmap. Work on cutting-edge technologies and collaborate with professionals.

Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.

The AI Senior Data Scientist will develop and deliver Generative AI solutions, collaborating with cross-functional teams. Key responsibilities include applying advanced AI techniques, ensuring high-quality data integrity, coaching junior members, and designing innovative solutions to complex business problems.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models using large amounts of structured and unstructured data. The role involves understanding business risks and delivering actionable insights through your projects, while collaborating with product management and software engineers in a fast-paced environment.