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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Deep understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and neural networks (inc. Experience in advanced predictive modeling, natural language processing, or computer vision.
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Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM.
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Proficiency in machine learning, particularly in deep learning frameworks such as TensorFlow or PyTorch. Postdoctoral position in machine learning for biomolecular simulation and modeling.
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Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques. 2 large projects related to Client & Natural language processing (NLP.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Subject matter expertise of IVR, Natural Language, and ASR platforms.
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Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform.
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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 design.
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Acting as an Innovation Solutions Engineer responsible for applying artificial intelligence knowledge (machine learning, natural language processing, graph analytics, robotics, optical character recognition) to optimize technology tools in different Financial Crimes areas (Transaction Monitoring, KYC, Payment Screening, Analytics.
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3+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 3+ years of experience building and maintaining scalable API solutions. Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker.
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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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The Corporate Controls MES Engineer will be a member of the client's Corporate Controls Engineering Department with a focus on delivering business intelligence services, BI software development, and Power BI reports utilizing client's Control Systems, Manufacturing Execution Systems (MES), and Microsoft Power BI servers/platforms.
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Power BI: Familiarity with Microsoft Power BI for data visualization, reporting, and dashboarding. Ability to design and develop Power BI reports and dashboards to provide insights into organizational data.
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