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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives.
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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. Experience with common machine learning techniques such as pre-processing data, training, evaluation of classification and regression models.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Python programming language · Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
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Knowledge of applied data science methods, feature engineering and machine learning algorithms, and usage of word embeddings in Natural Language Processing. Machine Learning Engineer.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. 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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Exposure to innovative areas such as Machine Learning, Big Data, Distributed Systems or SRE. We are the backbone for Data Engineering and Machine Learning developments at Visa, and we thrive on solving sophisticated challenges on a global scale.
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Relevant work experience designing and implementing big data and machine learning solutions. Serve as a lead technical resource for Generative AI, Big Data/Machine Learning, partnering with internal HBS technical partners and stakeholders, and vendors in development efforts.
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4+ years’ experience working with big-data technologies/databases, e.g. Spark, Mongodb, Elastic search, Snowflake, Neo4j, etc. GEICO is seeking an experienced lead machine learning scientist to jointhe AI Solutions org.
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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Experience working in Data engineering and ETL teams and on managing implementation projects that utilize big data, advanced analytics and machine learning technologies.
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Experience with building machine learning infrastructure, data pipelines to train ML models, etc. Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data systems in production: eg, Spark, Pinot, Presto. About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively.
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We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
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big data machine learning jobs Title: machine learning engineer
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