Top Machine Learning Jobs in Ecatepec
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to gauge business risks, utilizing diverse data sources. You'll have full project ownership and collaborate closely with Product Management and Software Engineering teams in an agile environment.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to analyze risk across various business classes, utilizing extensive structured and unstructured data. You will work closely with Product Management and Software Engineers within an agile environment to drive project ownership and direction.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
As a Perception Software Engineer at Zipline, you will be responsible for developing and implementing innovative perception systems for autonomous aircraft. This includes selecting sensor configurations, designing algorithms for object perception and avoidance, building software infrastructure to improve algorithms, and collaborating with various teams for effective decision-making processes.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
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As a Senior Machine Learning Engineer, you'll lead the development and deployment of machine learning models to analyze business risks. You'll handle structured and unstructured data to derive insights and work closely with product and software teams while managing your project ownership.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess risk across various business classes. You will convert large volumes of structured and unstructured data into actionable insights, working closely with Product Management and Software Engineers over two-week sprints.
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess the risk of various businesses by analyzing structured and unstructured data from multiple sources, including web data and satellite imaging.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
The Credit Analytics Manager will develop and optimize the cash advance product, implement risk models, collaborate with finance on credit policies, and work with product teams to launch features. This role requires a passion for leveraging data to fuel growth and improve customer well-being, while leading various credit and product testing initiatives.
Lead AI/ML Scientist role at Datasite, leading AI/ML projects from conception to implementation, optimizing AI models, and collaborating with cross-functional teams to enhance product offerings and customer satisfaction.
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess the risk of various business classes. Responsibilities include analyzing structured and unstructured data to derive insights and ensuring project ownership and direction within a two-week sprint cycle.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing both structured and unstructured data. You will work closely with Product Management and Software Engineers in an agile environment, taking ownership of your projects to drive their direction and execution.
The Senior Machine Learning Engineer at Kalepa will lead the development and deployment of machine learning models to assess business risk using structured and unstructured data. Responsibilities include project ownership, collaboration with product managers and software engineers, and working within a two-week sprint cycle.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze business risks. This role requires turning large volumes of structured and unstructured data into actionable insights while managing project direction and collaborating with teams on a two-week sprint cycle.
As a Data Scientist, you will analyze large Risk and Compliance datasets, develop and monitor machine learning models, and collaborate with team members to integrate data-driven insights into products. Your role involves understanding technical dependencies and analyzing risks and benefits of various approaches to solve problems.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks, utilizing both structured and unstructured data. This role involves project ownership, collaboration with product management, and working in agile sprints.
The Data Scientist I at Bank of America is responsible for analyzing large datasets to identify revenue opportunities and develop risk management strategies. The role involves collaborating with stakeholders, utilizing data analysis techniques, presenting findings, and maintaining quality work across multiple priorities while fostering a collaborative environment.
The Engineering Lead Manager, Data Science is responsible for overseeing the research, development, and implementation of ML and data science algorithms within a high-performance environment. This role requires both technical leadership and the ability to drive efficiency in global transaction processing and auction evaluations.
Join Talroo as a Principal Machine Learning Scientist to scale and expand high-value business initiatives using cutting-edge AI technologies and A/B testing. Work with a top-tier team to improve job recommendation processes and provide real, measurable revenue impact. Ideal candidate will have a passion for technology and solid background in computer science.
As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.
As an Applied Research Scientist, you'll conduct innovative research to enhance the productivity of scientists using AI, collaborate with the team, mentor early-career researchers, author scientific papers, share open source software, and develop relationships with academic and industry organizations.
Top Companies in Ecatepec Hiring Machine Learning Engineers
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