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Fidelity's Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Your role will focus on utilizing machine learning and deep learning technologies to advance our platform, which integrates UAV and satellite remote sensing data for environmental monitoring.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Knowledge of coding and programming skills, including but not limited to Bloomberg, FactSet, Python, R, or equivalent.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Undergraduate degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics. Education:Undergraduate degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation. Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios.
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A rapidly expanding AI-powered customer analytics company focused on delivering deep customer insights and personalized experiences using cutting-edge artificial intelligence, machine learning, and data science techniques.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Areas: Data, Artificial Intelligence, NLP, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning, Bioinformatics. Senior / Principal Recruitment Consultant - AI, Machine Learning & Data Germany / DACH.
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