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Bachelor’s degree with 5+ years of experience in designing, developing, and deploying machine learning models using Databricks, Azure ML, or Palantir. We have an immediate opening for an experienced AI/Machine Learning Engineer to work remotely, with the possibility of working onsite in Atlanta, GA at some point in the future.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. The Division's projects fuse advanced signal processing, adaptive communications technologies, advanced algorithms, machine learning, and sophisticated modeling and simulation to develop solutions for systems that include cognitive communications, intelligent wideband spectrum sensing, electronic warfare systems, and next-generation cellular network technologies, including 5G / 6G.
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Regulatory Compliance: Automate compliance processes using machine learning to ensure adherence to AML, KYC, GDPR, and CCPA regulations. AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.
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Familiarity with cloud computing (Azure, AWS, Google Cloud) with focus on machine learning and data science tools (Databricks, Snowflake, Azure ML). The AI Machine Learning Engineer bridges the gap between data science and implementation.
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As a Junior Machine Learning Engineer, you will play a crucial role in supporting the development and deployment of these innovative ML models focused on document processing tasks. Support the development of Machine Learning models: Assist in building and refining machine learning models for document processing, under the guidance of senior team members.
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Solid understanding of Statistics, Deep Learning and classical Machine Learning concepts. Learn and grow: Take initiative in learning new technologies and methods in machine learning, especially as they relate to document understanding and data extraction.
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Python, Data science, Machine learning, Data, Sql, Erpss, Predictive modelling, Algorithm, Statistics, Daiss, Data analysis, Predictive analytics, Artificial intelligence, Azure, Modeling, Cloud.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. -Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
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Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications. These include but are not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops, etc.
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Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Machine shop/ machining experience (Mill, Lathe, CNC Router, etc.) WHAT YOU'LL DO The Mechanical Technician will be responsible for learning and executing mechanical and electronic assembly processes necessary to manufacture a quality product in a timely manner.
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Certifications and accreditation with Google Cloud would include Google Professional Machine Learning Engineer, Google Cloud Architect, and completion of Level 400 Google Gen AI skill badge.
$307,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Utilizing NVDA (NVIDIA) technologies such as CUDA, TensorRT, and GPU acceleration to optimize machine learning models and enhance the overall performance of applications. Additionally, expertise in NVDA (NVIDIA) technologies such as CUDA, TensorRT, and GPU acceleration will be crucial in optimizing our machine learning models and enhancing the overall performance of our applications.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
machine learning jobs Title: manager Company: Remoteworker Us in Atlanta, GA
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