Top Machine Learning Jobs in Mexico
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.
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The AI ML Director will lead the development and implementation of machine learning components, optimize ML infrastructure, manage large-scale ML systems, collaborate with product teams, and drive the adoption of ML platforms across teams while mentoring engineers.
In this role, you will leverage strong test automation skills in Java or Python to test large-scale production systems. Responsibilities include scoping project requirements, building test cases, testing AI/ML models, analyzing test results, and reporting defects.
As a Senior Associate in Applied AI/ML, you will leverage your data science and analytical expertise to develop innovative AI/ML solutions. Your role involves collaboration with stakeholders to understand requirements, data wrangling, modeling, and collaborating with teams to implement strategies that drive business outcomes.
Join JPMorgan Chase's GTAR team as an Applied Research IoT/Ubicomp Senior Associate, focusing on pioneering research in IoT and related fields, developing innovative solutions, publishing findings, and contributing to intellectual property.
As an Applied AI ML Senior Associate, you'll design and develop machine learning models for the card business, focusing on enhancing customer lifecycle. Collaborate with a team to implement innovative modeling solutions and drive decision-making processes while ensuring model explainability and fairness.
The AI/ML Senior Associate will develop AI/ML capabilities to enhance fraud detection, collaborate with stakeholders, implement solutions in conjunction with technology partners, and adhere to governance protocols while working in a collaborative team environment.
As an AI/ML Data Curation Manager, you will lead the design and maintenance of data infrastructure, mentor data engineers, develop data documentation and models, and deliver data solutions for business modeling. You will also oversee data migration to the cloud and work with various teams to improve data efficiency and quality.
As a Director on the AI/ML team, you will lead a team of data scientists to address complex business challenges in Global Financial Crime Compliance. This role involves designing machine learning solutions, mentoring staff, collaborating with stakeholders, and managing project lifecycles to deliver impactful AI/ML implementations.
As a Senior Staff AI Software Engineer at Gusto, you will develop AI applications to enhance the efficiency of small business operations. You'll collaborate closely with Gusto's co-founder to implement your vision and mentor fellow engineers in AI software development.
The Executive Director will lead the Internal Audit Chief Data Office, optimizing data use for insights and AI/ML applications. Responsibilities include managing the Data Program, enhancing data quality, fostering a data-driven culture, driving strategic initiatives, and collaborating with stakeholders on data-related solutions.
As a Machine Learning Engineer at JPMorgan Chase, you will build and train production-grade ML models, develop end-to-end ML pipelines, and collaborate with teams to enhance data modeling experiments. Your role will include applying machine learning algorithms, producing high-quality production code, and conducting feature engineering.
The Senior Lead Cybersecurity Architect is responsible for developing and updating AI technology control requirements, engineering AI-specific controls, guiding cybersecurity evaluations, providing technical guidance, and collaborating with stakeholders on AI security modifications. They aim to enhance the cybersecurity framework within the JPMC ecosystem, while promoting a culture of diversity and inclusion.
As the Vice President, Applied AI/ML Lead, you will build production-grade machine learning models and develop end-to-end ML pipelines for commercial banking applications. You'll work with large-scale datasets, applying advanced statistical methods to solve business problems using machine learning and deep learning techniques.
As a Machine Learning Engineer Vice President, you will design scalable data pipelines, deploy AI models, ensure pipeline robustness, and integrate diverse datasets while collaborating with portfolio managers and data scientists.
As the Vice President Data Owner Lead in the Consumer Banking sector, you will oversee data management processes, ensuring data quality and compliance across various applications. You will collaborate with technology and business teams to classify critical data, manage risks throughout the data lifecycle, and support advanced analytics and business objectives.
The Machine Learning Summer Associate will research and develop advanced machine learning models, focusing on areas like natural language processing and recommendation systems, while collaborating with various teams to deploy solutions. The role includes independent research, experimentation with new methods, and participation in a knowledge-sharing community.
The Applied AI/ML Lead will analyze business problems and develop machine learning solutions, collaborating with various teams to implement AI/ML initiatives. Responsibilities include leading projects, creating models for NLP and recommendations, and deploying solutions into production while ensuring effective communication with stakeholders.
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