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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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Job 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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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Master s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
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Bachelor’s or Master’s degree in wildlife biology, rangeland ecology, environmental science, forestry, botany, soil science, or a closely related natural resource field. Your role will be to perform field work including species surveys, habitat assessments, wetland delineations, compliance monitoring, inspections, and technical support services.
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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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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 Scienceor related field.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Working under general direction of the Principal Investigator, this position provides analysis and develops and evaluates natural language processing and machine learning algorithms to leverage electronic health record data to support clinical care and research in the neuroscience.
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Job Description & Requirements Specialty: Nuclear Medicine Technologist Discipline: Allied Health Professional Start Date: 07/29/2024 Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employment Type: Travel We need a Nuclear Med Travel Radiology Tech to make a positive impact on patient care There are Travel Rad Techs and then there are Travel Lead-ers Lead Healthstaff is here to help you lead the charge forward in your healthcare career.
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Minimum of four (4) field seasons of lead wetland delineation experience using the 1987 Corps of Engineers Wetland Delineations Manual and Regional Supplement(s) and appropriate wetland delineation training or coursework.
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ICF Disaster Management division seeks an experienced professional to serve as a Compliance and Monitoring Lead. As a Compliance and Monitoring Lead, you will have in-depth experience with the Department of Housing and Urban Development’s Community Development Block Grant – Disaster Recovery (CDBG-DR) programs as well as other applicable Federal disaster recovery programs.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Computer science, electronic engineering, java, optical, processor, radar, robotics, schematic. + Serves as lead engineer / engineer of record on mid- to large size projects and programs.
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machine learning technical lead computer science jobs Company: Jpmorgan Chase Co in Dallas, TX
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