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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Description Job Responsibilities:We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics.
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Stay current with the latest advancements in LLMs, NLP, Deep Learning and ML research, implementing cutting edge techniques and incorporating them into production models as appropriate.
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Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
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As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business.
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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 25 days ago - UpvoteDownvoteShare Job
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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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Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform.
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Stay up to date with the latest advancements in machine learning and data science to ensure our solutions are cutting-edge and effective. Publications or conference presentations on topics in the machine learning arena.
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Must have 2 years of experience with robotic welding, including: 1 year of experience with Machine Learning Algorithms using Python and scikit-learn, pandas, NumPy, and SciPy packages; digital communications including SPI and Ethernet UDP messaging; managing multiple actions on 1-4 active projects using Agile methodology; and communicating and presenting Machine Learning topics to upper management and customers involving Machine Learning algorithms applied to welding data.
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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow. Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Hands on practical operation of and safe storage practices of ARC and MIG welding equipment to include; OXY/ACETYLENE, and PLASMA welding and cutting. Six months of commercial or industrial maintenance related experienceOperates shop tools such as a grinder, drill press, cutting torch and welding machine to repair or join metal parts.
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hands on machine learning cutting edge jobs Company: Dice in Parkville, Maryland
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