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Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.Implement data validation and data cleansing processes to ensure data quality and consistency.
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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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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) 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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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You are passionate about emerging technologies such as artificial intelligence, blockchain, and robotics. Coworking membership at Capital Factory with garage parking space, metro pass, or rideshare credits and access to the onsite gym.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Job Title: Machine Learning Data Analyst. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Should have solid experience in cloud-based AI and machine learning services offered by major providers such as AWS, Azure, and Google Cloud Platform. Experience with configuration management tools (e.g., Ansible, Puppet) and containerization technologies (e.g., Docker, Kubernetes, Red hat OpenShift.
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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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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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Stay updated on the latest trends and best practices in business intelligence and data visualization. The ideal candidate has a strong foundation in Business Intelligence principles, is comfortable working with large volumes of data, and possesses the technical expertise tosolve complex data challenges.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Minimum of five years of experience with Natural Language data collection analysis and tagging, grammar analysis, NLU development, and directed dialog grammar development.
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Our machine scoring methods are driven by artificial intelligence allowing computers to perform such complex operations as grading essays with more accuracy than humans. Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch.
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In this role, you will collaborate with GCDI’s Vulnerability Response Operations and Cyber Intelligence teams to collect requirements, develop, architect and deploy vulnerability management solutions on premise and across multiple cloud providers.
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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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Bringyourflavor #LI-CW2 What you will be doing This position will report to the Director of Customer and Market Intelligence, who resides in the Marketing organization. Experience working with third-party data partners (Circana, Nielsen, Symphony Retail, dunnhumby, etc.
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artificial intelligence machine learning jobs Title: data science in Dallas, TX
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