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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. Research the state of the art of machine learning, AI, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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CrowdStrike has always been industry pioneer in its use of Machine Learning and Artificial Intelligence: from our first to market use of ML for malware classification, to our cutting-edge Generative AI powered natural-language interface, Charlotte.
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Solid understanding of machine learning, deep learning, and natural language processing. Machine Learning and Deep Learning - Apply machine learning and deep learning techniques to solve complex business problems.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Big data/machine learning and AI techniques, including neural network and deep learning frameworks and machine learning tools (e.g., TensorFlow, Theano, Torch, Keras.
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Gain exposure in your first year to functional areas in our data organization such as data-centric product management, machine learning, and business strategy to find your niche and understand the challenges they face, identify opportunities for data-driven improvements and deploy machine learning and advanced analytics solutions in a business context.
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As the Senior Director - Enterprise Architect, your primary mission is to drive the evolution of our technology landscape, with a sharp focus on Machine Learning and Artificial Intelligence.
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Learning & Development Manager. Assist in the development and deployment of SCORM based e-learning content, using Articulate Storyline and Articulate Rise. High School Diploma or GED, Actively enrolled in a Learning & Development, Instructional Design, or similar graduate or undergraduate program.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Achieve strategic business value by leading and supporting TTX's Digital Transformation, including cloud solutions, intelligent real-time analytics, machine learning and mobility. At TTX you can expect: Professional development with continuing learning opportunities.
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Knowledge of data warehouse concepts, business intelligence tools, cloud computing, and artificial intelligence/machine learning. Prepare data for various data and analytics use cases, including business intelligence and machine learning.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Working closely with serial entrepreneurs and seasoned engineers who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
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machine learning jobs Title: scientist Company: National Geospatial Intelligence Agency in Charlotte, NC
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