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Facilitate resource allocation for machine learning scientists and engineers across multiple projects. 5 Years of experience as Technical Program Manager OR Technical Project Manager (must have managed multiple projects) – leading cross functional teams.
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Licenses/Certifications: Maintain Railroad Certifications, Loram Operating Rules Certification and All Loram Required E-Learning, On the Job, and 3rd Party Safety TrainingPREFERRED QUALIFICATIONS:Education: Associated Degree or Technical CertificationWORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role.
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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 design Ability to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Proficiency and hands on experience in SQL, Python, Power BI, Microsoft Dataverse, deep learning, machine learning, data modeling, and working with large amounts of data. The ideal candidate will have a proven track record of leveraging advanced analytics, machine learning, and artificial intelligence to drive business insights and improve operational efficiency.
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Serve as an independent subject matter expert for machine learning and computer vison. Master's degree (preferentially Ph. D.) in Computer Science/machine learning, Applied.
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Must Have Skills/Attributes: Computer Operations, Data Modeling, Machine Learning, MATLAB, Python. Master’s degree (preferentially Ph. D.) in computer science/machine learning, applied mathematics, statistics, engineering, or related fields.
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They must have technical expertise in cloud data engineering, particularly with the Azure Cloud ecosystem, including proficiency with APIs, Power BI, reporting applications, building data assets, ETL processes, and familiarity with advanced machine learning and AI methods.
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Are you a Data Scientist with machine learning and remote sensing experience, looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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Discover insights and identify opportunities through the use of AI and machine learning techniques. Proficiency in: machine learning techniques, computer vision, convolutional neural networks, clustering, generative adversarial networks, feature selection, classification, regression, etc.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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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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Keywords: IT Department Manager, Cloud Data Engineering, Azure Cloud, Data Strategy, Data Analytics, Business Intelligence, Reporting, Data Science, AI, Machine Learning. Keywords: IT Department Manager, Cloud Data Engineering, Azure Cloud, Data Strategy, Data Analytics, Business Intelligence, Reporting, Data Science, AI, Machine Learning.
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They are bringing on a Machine Learning engineer to join their team. Familiarity with common machine learning algorithms, such as GBDT, XGBoost, Random Forest, and Logistic Regression.
$150,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of machine learning and artificial intelligence as they apply to IoT. Knowledge of machine learning and artificial intelligence as they apply to IoT. Familiarity with IoT protocols and standards (e.g., MQTT, Kafka, CoAP, Zigbee, Z-Wave, BLE.
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machine learning jobs in St Louis, Hauula, Hawaii
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