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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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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. Experience in designing and implementing AI systems, including Natural Language Processing (NLP) systems, and Large Language Models (LLMs) such as GPT.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing GPU hardware for parallel processing, high performance computing and ML on Linux based platforms while providing updates.
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Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies. The Data Engineer of Data Services reports directly to the VP, Data Services and is responsible for taking part in the managing, designing, and building of systems required to deliver Mosaic and RxAnte's analytic products in a scalable manner using cloud data warehouse/lake technology.
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Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost). Have vision and passion to make Machine Learning development easier for ML Practitioners.
$297,700 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Natural Resource Specialist ID: ADC-140 Location: Washington Program: ACE Wage/Hr: $50.00 Hours/Week: 40 Minimum Age: 55 Being Age 55 or Older is Good for The Environment! s Natural Resources Conservation Service (NRCS) through a grant administered program awarded to National Experienced Workforce Solutions (NEW Solutions.
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GAM1 is seeking a remote Mid-level Software Assurance Engineer to join the Low-Earth Orbit (LEO) Ground Sustainment Services (LGSS) program to add to our distinguished team to sustain and enhance the Joint Polar Satellite System (JPSS) Common Ground System (CGS.
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C#, lead, matlab, programming, senior software engineer, software architect. Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms.
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That’s why we need you, an engineer, physicist, or mathematician, with a solid background in signal processing to develop radar and antenna models. You Have:2+ years of experience with signal processing and radar principles, including Fourier analysis, filtering, modulation techniques, and digital signal processing algorithmsExperience with coding in MATLAB, C.
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We are searching for a motivated engineer who is ready for a career-defining role in their next opportunity. Bonus points if you have Observability domain knowledgeExperience operating containerized services (Kubernetes, Mesos/Marathon)Solid understanding of databases (RDS, MySQL, PostgreSQL)Experience with configuration management tooling (Ansible, Terraform, or Puppet Fostering a diverse, welcoming and inclusive environment is important to us.
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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machine learning software engineer natural language processing jobs Title: frontend engineer in Washington, DC
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