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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Google Cloud Professional Machine Learning Engineer certification.
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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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The Principal Architect, Machine Learning Solutions (ML), is responsible for developing innovative solutions and technology strategies specifically focused on machine learning (ML) systems.
$228,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
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Our client is seeking a versatile Senior Data Scientist or Machine Learning Engineer to join their dynamic team. Preferably holds Databricks Certified Machine Learning Professional certification (willingness to complete certification upon offer.
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2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role. As a key contributor to our Machine learning efforts across Snap, you will take ownership of technology development synergy and operations across a team of experienced and talented researchers and engineers.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
$172,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your experience using Databricks for scalable data engineering and machine learning workflows will be a plus. You have experience developing machine learning computer vision solutions for embedded devices and NVIDIA GPUs.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Research and develop advanced machine learning algorithms and techniques in application areas including radar, electronic warfare, sonar, SIGINT, RF geo-location, and image processing. Intellectually curious and are stimulated by researching new and advanced techniques and technologies in the areas of digital signal processing and machine learning.
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I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Job Description: As a Principal Scientist, Antibody Development, you will play a pivotal role in driving our antibody discovery programs from conception through to preclinical development.
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machine learning jobs Title: sr scientist Company: Verizon
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