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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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This hands-on role will report to the Workday Principal Administrator as part of HR Technology Team. This role will drive HR Data reporting and analytics strategy, data discovery and collection, data security, data modeling, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Hands on experience utilizing both supervised and unsupervised ML (Machine Learning) algorithms. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The Manager of Artificial Intelligence and Machine Learning Engineer reports to the Senior Manager, IT Data Science & Analytics. Proficiency in Python, SQL, git and common Data Science, Artificial Intelligence and Machine Learning libraries.
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Our team develops 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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Hands-on experience designing and building streaming data pipelines using Kafka, Confluent etc. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Integrate Azure Databricks with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning. Experience with machine learning and AI integration in data pipelines is a plus.
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Medical Search International has a great Cardiology Nurse Practitioner Manager opportunity available in New York. Please see the below practice description and contact me at any time to discuss the opportunity in further detail.
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Ability to work in a dynamically changing environment and leading people through modernization from traditional auditing to focus on data analytics. This includes (as examples) knowledge of risks related to banking technology, emerging risks related to digitization of bank technology services, the use of cloud computing / services, third party vendors and associated risk management, data protection, data processing and execution, data quality management, software licensing, and general computing and application controls.
$189,738 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence. Ph. D. or Master’s degree in AI, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on big data or artificial intelligence.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
$209,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Visualization and Analysis Tools: Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python). Zaddy Solutions is doing a search for an onsite, direct hire role in Brooklyn, NYC for a Data Engineering and Analytics lead.
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Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems.
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