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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specialized courses or certifications in data science, machine learning, or artificial intelligence can be beneficial. Experience with machine learning and artificial intelligence, especially in content recognition and classification.
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Track record of successfully taking multiple data science models/systems into production with GCP ecosystem. Strong understanding of machine learning and deep learning principles. The purpose of the Senior Associate, Data Science is to work with clients undergoing a data-driven transformation (DDT) across the globe.
$161,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer with a focus on deploying Generative AI-based solutions in production environments. Proficiency with modern data science tools and frameworks such as PyTorch, TensorFlow, JAX, Scikit-learn, and Keras.
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Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production. Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
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As an Advanced Machine Learning Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of machine learning algorithms, models, and systems.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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The Algorithm and Analysis Engineer will be a contributor on research projects related to the M&S of radars and other RF systems, developing and running models as well as conducting analysis on the data produced Job Purpose The Algorithm & Analysis Engineer is responsible for the development and support of state-of-the-art algorithms involving data fusion, sensor fusion, machine learning, manned/unmanned avionics improvement programs, and genetic programming.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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8+ years of progressive experience as a data analytics, machine learning engineer or similar roles. As a Lead ML Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines.
Full-timeRemoteExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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For data Science/Machine learning Positions. For data Science/Machine learning. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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machine science engineer jobs in Atlanta, GA
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