Top Machine Learning Jobs in Mexico City

As a Distinguished Machine Learning Engineer at Capital One, you'll lead large-scale ML initiatives, collaborate with cross-functional teams to develop AI/ML use cases, and stay updated with advancements in Generative AI and NLP, while mentoring engineers and driving research to identify new opportunities.

As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on architectural design, model development, and infrastructure decisions. You'll collaborate with cross-functional teams to solve complex problems, manage ML models, and optimize data pipelines while ensuring best practices in AI governance.

As a Staff Quality Engineer at Celonis, you will ensure high-quality product delivery by implementing effective testing strategies, including automation. You'll collaborate with cross-functional teams to enhance test coverage, mentor team members, and optimize tools and processes for better quality assurance. Your role combines manual testing with automation, focusing on customer satisfaction and quality metrics.

The Software Engineer in Machine Learning at Celonis will design and develop AI/ML features and solutions, working closely with various stakeholders to translate business needs into technical requirements. Responsibilities include creating scalable models, implementing data collection systems, ensuring data accuracy, and building robust infrastructure for model deployment.

As a Senior Software Engineer in Machine Learning at Celonis, you will design and develop AI/ML product features and solutions. Responsibilities include understanding customer needs, designing scalable models, implementing data collection mechanisms, and building robust infrastructure for AI/ML applications.

The Lead Data Scientist at Caterpillar will guide a team in advanced analytics and GenAI projects, focusing on data gathering, processing, and modeling. Responsibilities include defining analysis requirements, presenting insights, coaching junior data scientists, and engaging in multiple projects simultaneously while driving continuous learning and innovation in analytics.

As a Senior Machine Learning Engineer, you will build AI/ML solutions, collaborate with teams, mentor staff, and lead innovation sprints to improve products. Your role involves designing, developing, and delivering cloud-based services while ensuring alignment with business goals.

As a Staff Machine Learning Engineer at ServiceNow, you will build AI/ML solutions that enhance enterprise services and transform user experiences. You'll collaborate with developers and product managers, taking ownership of code from design to delivery, utilizing core AI/ML techniques, and ensuring high-quality outputs.