Top Machine Learning Jobs in Tijuana

The Sr. Business Manager in Global Workplace Services will lead the Workplace Analytics Team, focusing on using data and technology to improve workplace efficiency. Responsibilities include developing machine learning models, collaborating with cross-functional teams, mentoring analysts, and driving strategic business initiatives to enhance credit performance and operational excellence.

The Senior Machine Learning Engineer will develop and implement machine learning applications, focusing on architectural design, model building, and performance optimization. Responsibilities include collaborating with cross-functional teams, maintaining models in production, and leveraging cloud technologies to optimize ML models at scale.

As a Senior Machine Learning Engineer, you'll develop and implement machine learning applications, focusing on architectural design, model validation, and automation. You will work collaboratively in an Agile team to solve complex business problems using machine learning models and ensure the high performance of systems. You will also manage models in production and leverage cloud technologies.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate across teams to enhance data strategies, and drive initiatives related to semantic technology integration. Responsibilities include defining problem statements, prioritizing roadmaps, mentoring junior associates, and advocating for ontology value across the business.

As a Principal Quantitative Analyst, you will validate financial models for stress testing and risk management, develop validation strategies, enhance model methodologies, and communicate findings effectively to influence business strategy, while driving innovation within a team of quantitative analysts.

As a Senior Manager in Machine Learning Engineering, you will design, build, and deliver machine learning models and components while collaborating with product and data science teams. You'll oversee model training, deployment automation, and ensure compliance with best practices in AI. The role requires strong problem-solving skills and experience in cloud-based architecture and data-intensive solutions.

As a Senior Manager of Machine Learning Engineering, you'll design and implement machine learning applications while ensuring their performance and availability. You'll collaborate with cross-functional teams to solve business problems using ML, build optimized models, and maintain production systems, all while following best practices in AI development.

In this role, you will design and implement machine learning applications and systems at scale. You will collaborate with cross-functional teams to deliver ML models, build optimized data pipelines, and ensure the governance of models and adherence to best practices. Additionally, you will leverage cloud technologies to enhance ML applications and lead efforts in improving the infrastructure and performance of existing systems.