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Demonstrated experience with TensorFlow,Keras,Torch,or other Deep Learning toolsand frameworks. We are looking for seasoned Senior Data Scientist todevelop solutions that ensure federal clients can implement safe, secure,equitable, and privacy-enhancing AI/ML. The Senior Data Scientist will work at the forefront of responsible AI, helping move the sector beyond frameworks to tangible practices.
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Proficiency in programming languages such as Python, and expertise in relevant NLP and deep learning libraries and frameworks (e.g. TensorFlow, PyTorch, Spacy, langchain) GEICO is seeking a highly skilled and experienced Senior Data Scientist (ML/NLP) to join our AI solutions team.
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Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.
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Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion-supported by deep-rooted core values, one of which is diversity. Focus on learning, development, and career growth.
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Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras (tensorflow or pytorch is a plus.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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This role will develop Artificial Intelligence, Machine Learning, and Deep Learning technologies, leverage advanced algorithms, and implement top-level analytic innovations. Our National Security Group is looking for a Data Scientist - Developer to strengthen our ability to deliver unique, intuitive, and exciting analytic applications and data concepts for our innovative emerging technologies.
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Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation. - Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems- Fluency in SQL and other programming languages.
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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Large scale machine learning & deep learning models. deep learning, reinforcement learning, and computer vision techniques. Data science, machine learning, optimization models, Master’s degree 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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Prefer at least 3-5 years working with Machine Learning and/or Natural Language Processing (in particular, Named Entity Recognition, Deep Learning, Neural Networks, Image Processing, NLP, Spark, TensorFlow) methodologies.
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AI/ML – Knowledge of forests, neural networks (e.g., CNN, RNN, deep learning), Support Vector Machines (“SVMs”), etc. The Lead Data Scientist will oversee the construction of usable datasets from multiple sources to be used to support the PCAOB’s data processes, including advanced data analytics, data modeling, machine learning, and applications of artificial intelligence skills, and to distribute and interpret the results of analyses to drive business outcomes.
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We are seeking a highly-skilled and experienced Senior Machine Learning Scientist to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. Your deep learning expertise, particularly in CV, NLP, and multi-modal AI, will be crucial in driving our product innovation and strategic vision.
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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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deep learning scientist jobs in Mclean, VA
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