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The Advanced Architectures and Algorithms (AAA) Group within the Sensors Division develops advanced signal processing and waveforms, machine learning, tracking/fusion algorithms, and resource management algorithms for next-generation ground-based, airborne, and space-based radar systems and EO/IR systems.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications.
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Experience with advanced robotic technologies such as AGV, ASRS, vision systems, machine learning and artificial intelligence Join our team and be a part of our global digital transformation journey toward factories of the future.
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To support AccuWeather's continued focus on innovation and generating superior weather products, we are seeking a highly skilled and experienced Machine Learning Engineer with proficiency in Databricks to join our innovative team.
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As a Machine Learning Engineer, you will lead our data-driven initiatives, focusing on developing advanced ML models, leveraging NLP techniques, and utilizing LLM technology to extract actionable insights from our diverse data sets.
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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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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
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Familiarity with AI accelerator architectures that enhance the performance of advanced algorithms. Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
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Risk: Collect, analyze, and validate open-source intelligence. Job Title: Information Security Manager. Be knowledgeable of customer information security policies, standards, and procedures, as well as the infrastructure equipment, versions, and configurations.
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5+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection. Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment.
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Net, PySpark, Python, SQL NoSQL, C#, and scripting languages (Linux or Powershell); 2 years of experience in Machine Learning projects, putting in production and maintaining with MLOps methodologies; 2 years of experience in natural language processing, neural network design, machine learning forecasting, audio and image processing, and applying machine learning to IoT projects incorporating knowledge graphs; and 2 years of experience with hands-on DevOps experience on Azure services.
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