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The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data driven decision-making organization and is seeking an experienced and talented Machine Learning Operations Engineer to join our team.
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Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, Keras. Publication record in NLP, Machine Learning, Computer Vision or related areas preferred.
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The Machine Learning Engineer, Sr. will be a key member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and lead the development of a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
$149,760 - $224,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
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We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. 2024 Fall Co-Op - Machine Learning Engineer (NLP & Vision.
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Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
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As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes.
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Develop tools and processes for automatically train, updating and evaluate LLM (Large Language Models)Qualifications: Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
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machine learning jobs Title: electrical engineer Company: Plume
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