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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Kafka, HDFS, Hive, Cloud computing, machine learning, LLMs, NLP & Web development experience is a plus. Experience with Continuous integration and deployment. Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc.
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Data Science, machine learning or predictive analytics experience. Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions.
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7+ years of experience in implementing solutions using AWS cloud services, CI/CD, Identify as a service (IDaaS) and Artificial intelligence technologies (ML/NLP/ GPT LLM) Prior architecture experience in implementing cloud infrastructure solutions and hybrid cloud migrations/integrations using AWS cloud native technologies, unified continuous integration and deployment platforms (CI/CD) and Identity as a service platform (iDaaS.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications. Promote a culture of knowledge sharing and continuous learning within the engineering organization.
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We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes.
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This role will report to the Assistant Deputy General Counsel, Privacy and Legal Information Security and will support Comcast Cable's global privacy and information security, and Artificial Intelligence (AI) programs by providing excellent legal counsel and subject matter expertise.
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Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation , machine learning on edge devices.
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We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. Collaborate closely with internal teams to share knowledge and best practices, fostering a culture of continuous learning and development.
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Extensive experience in Python development, with a focus on productionalizing LLM and machine learning applications. In-depth knowledge of various machine learning techniques and their real-world applications.
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We have been honored with numerous awards through the years including the 2023 Global InfoSec Award, 2022 CDM Global Infosec Awards, 2021 SC Media Trust Award for Best Threat Intelligence Technology, a 2020 Stevie Award, and the 2017 JPMorgan Chase Hall of Innovation Award for our truly unique malware and explainable threat intelligence products.
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This is an excellent opportunity for you to leverage your software-development and solutions-architecture skills to the Python open-source data-science, artificial intelligence, and machine learning ecosystems.
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Proactively build and maintain relationships with partner teams, including but not limited to Cyber Intelligence, Red Team, Insider Threat, and Hunt teams. At least 3 years of experience with Threat Intelligence Platforms (TIPs), Security Orchestration, Automation, Response (SOAR) or Security Information and Event Management (SIEM) tools.
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deployment machine learning artificial intelligence jobs Company: Jpmorgan Chase Co in Philadelphia, PA
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