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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques. Stay updated on advancements in data science, machine learning, and analytics.
$207,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Stay abreast of emerging technologies in AI, machine learning, and digital health. Experience with AI and machine learning applications in product development. Mentor and develop team members, fostering a culture of creativity and continuous learning.
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Old Dominion Brush Company Inc. (parent company - Alamo Group) is currently accepting applications to fill the position of Broom Assembler - Broom Machine Operator in its Broom Department in Richmond, VA.
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The Machine Operator will be responsible for the set up and operation of production machinery for Matthews International for our Metal Casket Production facility. Matthews International is seeking a qualified Machine Operator to work in our Production Facility in the Richmond, IN area for our memorialization business segment.
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Knowledge of modern machine learning, NLP and information retrieval are a big bonus. You will be building product enhancements for search components with contributions to Elasticsearch and Kibana, as well as to distributed machine learning infrastructure.
$169,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Machine Operator - Cold Forming. MacLean-Fogg is a globally recognized leader in the design and manufacture of innovative fastener solutions, engineered components, and advanced manufacturing systems for the automotive and industrial sectors.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Complete daily machine maintenance and safety checks as outlined by the CNC supervisor. Work with the CNC Supervisor to communicate machine issues, quality control issues and others as necessary.
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Provides general repair work on refrigeration, heating and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors in a safe and timely manner.
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machine learning jobs Title: research scientist in Richmond, Papillion, Nebraska
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