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Deep technical proficiency in applying a variety of machine learning algorithms, techniques, and frameworks to solve complex business challenges. Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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This is a strategic leadership role that requires a deep understanding of machine learning, drug discovery, and computational chemistry. Demonstrated expertise in machine learning and deep learning, with proficiency in Python/C/C.
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Experience with data science, deep learning and natural language processing. Leverage software engineering, machine learning, data science and data engineering techniques, sourcing and using a wide range of data types as you go, to enhance our platform's capabilities and deliver innovative solutions to our customers.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases.
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Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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Deep knowledge and passion for the cryptocurrency and blockchain industry. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Director, Model Validation for SHUSA Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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The successful candidates will contribute to the drug discovery effort as well as the development of novel therapeutics across several areas based on a strong interdisciplinary background, as our interests range from genome editing, bioengineering for scalable micro-tissue production, to machine learning approach for the analysis of high content phenotypic screens.
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machine learning deep jobs Company: Services Llc in New York, Bentonville, Kansas
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