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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Job Title: Machine Learning Data Analyst. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks. Develop and optimize Spark jobs for data processing, analysis, and machine learning tasks.
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Title: Data Engineer – Machine Learning OperationsLocation: New York, NY (Hybrid) Client Industry: Healthcare We have partnered with our client in their search for an experienced ML Ops Data Engineer, experienced in Machine Learning Operation processes and deploying/productizing ML models to join their renowned healthcare institution specializing in musculoskeletal health.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) preferred. Covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
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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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10 years or more of experience in software/systems development, including at least 5 years in a data engineering role with implementation of data mining, analytics, and machine learning experience.
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Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets.
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Strong proficiency in programming languages such as Python, R, or Java, and familiarity with machine learning libraries/frameworks like TensorFlow, scikit-learn, etc. We are seeking a highly skilled and experienced Principal Machine Learning and Data Science Engineer to join our dynamic and passionate team.
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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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machine learning python jobs Title: data engineer
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