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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Elite Paradigm provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Experience developing solutions in at least 4 of the following technology areas:Government Cloud IaaS and PaaS (FEDRAMP Authorized solutions)Microservices and ContainersDevSecOpsData AnalyticsML/AI (Machine Learning / Artificial Intelligence.
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Machine learning or deep learning algorithms, natural language processing techniques. Apply statistical, machine learning, and NLP techniques to identify patterns, extract meaningful insights, or develop new tools or solution for the business stakeholders.
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Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Specifically, this role will function as a Senior Data Scientist in the Enterprise Data & Analytics (EDA) group with responsibility for using knowledge of data analysis, statistics, machine learning, and predictive modeling to leverage AutoML tools and build custom solutions to support key initiatives with a commitment to innovation and value creation.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Hire and build a team of specialized skills such as Machine Learning, Computer Vision, MLOps and UI/UX. This role will focus on a multi-year companywide initiative called “Plant of the Future” (POTF); leading and advancing the POTF initiative by leveraging various Industry 4.0 / factory of the future technologies on the manufacturing floor, including (but not limited to) Machine Learning Operations, Computer Vision, and Advanced Predictive Maintenance.
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Exposure to cloud-based data analytics tools (e.g., Azure Synapse, Databricks, Azure Machine Learning) Firm grasp of practical approaches to data science, machine learning, and/or artificial intelligence theory.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Knowledge working with relational databases and query authoring (SQL), and knowledge working with Python, R, or other machine learning platforms. The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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The client is modernizing its IT infrastructure, through Data Modernization Accelerator and other contracts, including cloud adoption, adoption of data standards and improved public health data pipelines, application of artifi cia l intelligence ( AI ) and machine learning ( ML ) , and availability of shared analytics and visualization services.
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Provide guidance and mentorship to the team members and foster a culture of continuous learning and development. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz Stadium.
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Familiarity with machine learning, model development and related AI techniques, including supervised and unsupervised learning, natural language processing, and predictive modeling.
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Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics. Advanced Degree required: Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or Engineering.
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machine learning jobs in Atlanta, GA
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