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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) 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.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Abundant and compelling resources include a cyclotron, whole body PET/CT and PET/MRI, 3 Tesla MRI, 3D modeling and printing, magnetoencephalography (MEG), small animal imaging, spectral-detector computed tomography, high-intensity focused ultrasound (HIFU), image processing and research PACS, and ongoing artificial intelligence and Deep Machine Learning, including access to high-performance computing facilities.
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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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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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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A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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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.
$229,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models Implement and maintain ongoing prediction pipelines using tools like kubernetes, Airflow, KFP, and Vertex AI. Ensure best practices in ML engineering, including code quality, testing, and documentation.
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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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Postdoctoral position in machine learning for biomolecular simulation and modeling. Proficiency in machine learning, particularly in deep learning frameworks such as TensorFlow or PyTorch.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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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.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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