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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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Evaluate and pilot the newest emerging technologies in AI, machine learning, and IoT.Commissioning and Testing:Support the commissioning, testing, and solving of building automation systems.
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Experience and familiarity with processor architectures, digital signal processing, machine learning, digital communications, or integrated circuit design. Bachelor's or advanced degree in Electrical Engineering, Computer Engineer, Physics, Chemical Engineering, Materials Science or related field.
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San Francisco and San Jose, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. Sales Territory or Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. As the UX/CX Designer Principal Engineer (PE), you will be part of Telecommunication's Professional Services (PS) team.
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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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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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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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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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New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning EngineerSan Francisco and San Jose, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning EngineerSales Territory or Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning, and Computer Vision or equivalent experience. Analyze, design, and implement optimized GPU algorithms for large-scale data analytics and machine learning.
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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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Description :Joining CoreLogic means working on the cutting edge of the industry with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more.
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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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Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical Knowledge Application Delivery Process, Consulting, Effectiveness Measurement, Industry Knowledge, IT Industry: Trends & Directions, IT Standards, Procedures & Policies, Planning: Tactical, Strategic, Problem Solving Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
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machine learning engineer jobs in Dallas, ME, Arizona
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