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Completely hands on. Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics. Data science, machine learning, optimization models.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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Representatives receive hands-on experience in the music industry, working directly with full-time employees and artists from WMG label partners including but not limited to Atlantic Records, Warner Records, 300 Entertainment, Asylum Records, ADA, and Warner Nashville.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Qualifications REQUIRED QUALIFICATIONS: Minimum 5-7 years’ recent hands-on professional experience SAP ERP, on a US Federal Government, (preferably DoD), systems. 1) Application Security Analyst - SAP Central User Administration, SAP Security solutions including ECC with BW, BI/BOBJ, CAMS, GRC, SCM, Sol Man, & PI, SAP Security related tables and programs, ABAP code, security risk analyses and assessments, Establish information assurance and security requirements based upon the analysis of user, policy, regulatory, and resource demands.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
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The Full Motion Video (FMV) Analyst positions at BAE Systems provide employees with hands-on FMV training for all intelligence disciplines, advanced skills certification, and rapid job promotion into instructor, subject matter expert, and management positions.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Job Description & Requirements Specialty: Registered Respiratory Therapist Discipline: Allied Health Professional Start Date: 08/12/2024 Duration: 13 weeks 36 hours per week Shift: 12 hours, nights, on call Employment Type: Travel Perks: I am an 18 year RCIS cath lab tech and 7 year traveler turned recruiter.
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Thousands of customers, including Epic Games, DIRECTV, Intuit, Lyft, and Formula 1 are running production workloads on AWS Graviton powered instances with significant performance gains and cost savings.
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Strong experience with hands-on analysis and data interpretation using protein/polymer spectroscopic, calorimetric or particle sizing techniques (E.g., UV-Vis, Fluorescence, Circular Dichroism spectroscopy, DLS, HIAC, DSC, etc.
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Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
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Demonstrated hands-on experience with Cisco Catalyst Layer 2 /3 Switches Cisco ISR and ASR series routers. This position may require participation in an on-call rotation for after-hours support as well as overnight travel within the United States up to 25.
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hands on machine jobs Company: Databricks Inc in Mclean, VA
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