Top Machine Learning Jobs in Ecatepec

Lead a team of machine learning engineers in developing a personalized video recommendation engine. Responsibilities include defining system architecture, conducting A/B testing, performing design reviews, and optimizing performance metrics to improve the recommender system.

As a Principal Machine Learning Engineer, you will lead the technical roadmap for Snap's Ad Marketplace, designing and scaling machine learning models to enhance ad efficiency, collaborate with teams on machine learning strategies, and ensure operational excellence throughout the system.

As a Machine Learning Engineer, you will lead the design, development, and deployment of machine learning models to assess risk for businesses. You will utilize vast amounts of structured and unstructured data from various sources to generate insights. Team members manage their own projects and collaborate closely with product management and software engineers in a sprint-based environment.

In this role, the Senior Manager of Machine Learning will lead a team focused on developing machine learning solutions for fraud prevention in the financial services sector. Responsibilities include team management, performance evaluation of models, and collaboration with various teams to enhance customer experience and business profitability.

The Machine Learning Engineer will develop and deploy machine learning models at scale to analyze risks associated with various businesses, utilizing both structured and unstructured data from diverse sources. Collaborating closely with product management and software engineers, they will have full ownership of their projects and work within a two-week sprint framework.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess the risks associated with various businesses by analyzing structured and unstructured data from multiple sources.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models aimed at assessing business risks using diverse structured and unstructured data sources. You will drive project direction with complete ownership, collaborating closely with cross-functional teams in a two-week sprint environment.

As a Senior Machine Learning Engineer at TrueML, you'll architect and implement ML infrastructure, develop production-grade ML pipelines, and maintain systems for real-time and batch decision-making. You'll collaborate with data engineers and data scientists to scale algorithms and ensure robust deployment of machine learning models.