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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 Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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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 modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Role : Sr Staff Data Scientist - Technical Leadership and Initiative DriverLocation : Dallas, TX,Overview: Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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While here you will get to work with and get trained on end-to-end Workday suite, Adaptive Insights, and machine learning-based demand planning models. TCC supports a growth and learning environment.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Omni-Channel, Chatbot, and/or Conversational IVR experience.
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Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to OFAC sanctions and AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.
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Job DescriptionOperates and maintains power equipment such as, clamp, slip-sheet, or fork sit-down lift truck, manual and electric pallet jacks, cigarette stamping machine, floor scrubber, battery exchanger, and power tools to move and prepare goods in/out of depot.
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Experience with deep learning development tools (PyTorch, TensorFlow, JAX). Strong background in deep learning and machine learning. SUMMARY Sony AI’s Privacy Preserving Machine Learning (PPML) team is looking for smart and talented researcher interns with expertise in deep generative models and privacy-preserving machine learning techniques.
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5+ years prior experience in B2B capital equipment sales with ASP of $500k to $2M (machine tool, industrial printers, or other heavy equipment.) Our solutions span use cases across the product life cycle, from product development to mass production and aftermarket operations, and they address an array of industries, including automotive, aerospace, healthcare, consumer products, heavy industry, machine design and research and development.
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Required: Board Certified Behavior Analyst (BCBA) Certification in Applied Behavior Analysis per BACB guidelines. Required: Board Certified Behavior Analyst (BCBA) Certification in Applied Behavior Analysis per BACB guidelines.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Our employees benefit from a robust career development framework and clear learning paths which outline career trajectory, training and progression plans. Every Fund Accounting Manager will receive the requisite Induction Training in addition to both compulsory training (AML/KYC) and optional training.
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