Top Machine Learning Jobs in Ecatepec
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
The Applied Scientist will use machine learning and data science to enhance the shopping experience via sponsored ads, collaborating with product and engineering teams. Responsibilities include developing predictive models, optimizing bidding and auction algorithms, and mentoring junior scientists while communicating findings to leadership.
The Senior Applied Scientist will lead the development and deployment of machine learning models to enhance the advertising experience for Chewy, optimizing product selection, ranking, and relevance. Responsibilities include collaboration with product and engineering teams, driving applied science solutions, publishing research, and mentoring junior scientists.
As Director of Data Science at Chewy, you will lead a team to enhance customer and advertiser experiences via advanced machine learning solutions. Responsibilities include model development, collaboration with product teams, publishing research, setting performance standards, and mentoring staff.
The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.
The Applied Scientist will enhance customer-service provider matching through machine learning and optimization, develop predictive models, analyze marketplace dynamics, and manage monetization mechanics to foster marketplace growth at Thumbtack.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
As a Research Scientist in NLP at Kensho, you will develop and deploy innovative AI solutions, focusing on areas such as long-context question-answering and alignment techniques. You'll collaborate with a team of experienced scientists to fuel innovation and publish research, while leveraging substantial computational resources for model development.
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As a Senior Research Scientist at Kensho, you will work on cutting-edge Machine Learning and Natural Language Processing projects, such as long-context document QA, complex reasoning, and developing Large Language Models. You will contribute to creating evaluation benchmarks and improving alignment techniques while collaborating with academia and leveraging access to high-performance GPUs.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
Design and develop scalable and high-quality AI/ML features and solutions based on business needs. Collaborate with cross-functional teams to implement advanced AI technologies. Build infrastructure for AI/ML models and data collection mechanisms to meet customer demands. Ensure accuracy and freshness of enterprise operational data for thousands of customers.
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 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.
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.
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.
In this role, the Applied AI ML Senior Associate will develop models and systems for the bank's operations, applying NLP and machine learning expertise to solve complex business problems and generate insights. They will contribute to product development, act as a trusted advisor, and promote continuous learning within the organization.
The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.
The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborating with teams to produce models and optimize performance. Responsibilities include model design, coding, infrastructure decisions, and maintaining production models. You'll also build cloud-based architectures and ensure best practices in model governance.
As a Distinguished Machine Learning Engineer, you will lead the design and implementation of machine learning applications and systems, mentor other engineers, and drive ML initiatives in the financial services sector. You will collaborate with interdisciplinary teams to solve complex business challenges, optimize data pipelines, and ensure the performance of ML models at scale.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
The Senior Director of Technical Program Management will oversee strategic initiatives in the Enterprise Data and Machine Learning division, optimizing data management and driving innovation through complex technical projects. The role involves aligning cross-functional teams, ensuring successful delivery of data-driven solutions, and fostering a strong TPM discipline within the organization.
As the Senior Director of Technical Program Management at Capital One, you will lead strategic initiatives in the Enterprise Data and Machine Learning division. Responsibilities include overseeing technical project delivery, managing cross-functional teams, and enhancing data management systems. You will leverage your expertise to drive innovative data solutions and develop the TPM practice within the organization.
The Director of Data Engineering will lead and grow teams focused on data and software engineering, implement data strategies for the Enterprise Identity Platform, and modernize technology stacks while promoting collaboration across Agile teams. Responsibilities include overseeing AWS deployments, code reviews, and fostering innovation through best practices in data engineering and machine learning.
As a Principal Data Scientist at Capital One, you will lead the use of advanced machine learning and data science methods to drive business outcomes. Responsibilities include building ML models, collaborating with product teams, conducting experiments, and operationalizing solutions in production systems handling large datasets.
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