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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Lead Machine Learning Operations Engineer. We are looking for a highly capable Lead Machine Learning Platform / MLOps Engineer with a strong Software Engineering and DevOps background.
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4- 8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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What you’ll need: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. MLOps and Deployment: Hands-on experience in deploying machine learning models using CI/CD pipelines, containers (Docker, Kubernetes), and APIs for serving LLM/NLP models at scale.
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You'll get to work on a consumer-facing product that uses high TPS micro-services, large streaming data, bandit and neural-network based recommendation algorithms, batch and real-time serving ML models and much more As a Backend Java Software Engineer III at JPMorgan Chase within the Personalization and Insights team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
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S Posted byPresidentFocus Capital is supporting its health technology division by introducing rockstar Software Engineer with prior experience working in Machine Learning, AI and Data Science technologies.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About the RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with bulk data processing with Apache Spark and/or Hadoop.
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Job Summary Job Description RBC Amplify 2025 – Data Engineer What is Amplify? AND one or more of the following: Experience with machine learning algorithms, computational mathematics, bioinformatics or artificial intelligence.
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Internship project areas range from machine learning, using big data, native mobile applications, backend services, full stack web applications, or UX/UI focused development. As an American Express Software Engineer Intern, you will work on building global scale software with a host of tools and frameworks.
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