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Proven experience working directly or adjacent to ML data operations (synthetic data creation, human data collection/annotation, data quality management) in support of machine learning features.
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc. Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning.
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We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency.
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Education PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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Experience with RDBMS (PostgreSQL, MySQL), NoSQL databases, database migration, creation of objects in SQL, NoSQL.Experience in data visualization and machine learning. Perform and document engineering reports under direct supervisionCollaborating with other engineers to deploy new databases or create new data flow to facilitate the operational automation.
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While not necessarily requiring advanced knowledge in machine learning, this role is crucial in helping us analyze data effectively, connect the dots, and provide valuable insights to drive our advertising technology forward.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon is committed to a diverse and inclusive workplace.
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As the Product Manager, Machine Learning Initiatives you will lead development and monetization of new machine learning, data and performance advertising solutions. Experience with SQL, and data processing/data warehouses a plus.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Define, manage, and execute a long-term roadmap which includes machine learning powered and data intensive products. Familiarity with SQL, BigQuery, Python, R, Minitab, or SPSS.
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Solid understanding of algorithms, data structures, and runtime/space complexityExperience working with distributed system software architectureBasic understanding of HPC GPU cluster, slurmBasic understanding of Machine learning concepts and terminologiesBackground with databases - SQL and NoSQL (prometheus, elasticsearch, opensearch, redis, etc.
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Develop and maintain complex predictive models, utilizing statistical techniques and machine learning algorithms, to forecast patient demand, resource utilization, and financial performance.
$84.06 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab. About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C.
$166,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience working as an economist alongside or embedded in engineering roles (machine learning engineers, data scientists). Work with a team of high-performing data science professionals, machine learning engineers and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
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