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B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented.
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6+ years of IT experience with a min of 3+ years in Data Science (AI/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented.
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Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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Experience with natural language processing (NLP) and deep learning frameworks TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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Expert in Deep Learning, Natural Language Understanding and Processing (NLU/NLP). Design, develop and implement machine learning algorithms and deep learning application and systems.
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We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with a focus on fine-tuning Large Language Models (LLMs) to join our innovative team.
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SummaryLeveraging a strong background in data analytics and statistics coupled with deep agricultural knowledge, the Agricultural Data Scientist performs exploratory analysis, develops elegant and impactful data visualizations, contributes to data pipeline development, and implements machine learning algorithms to drive a positive value proposition for business stakeholders.
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Experience developing and applying advanced algorithms, models, and frameworks that leverage the latest advances in technologies including but not limited to machine learning, deep learning, neural networks, natural language processing, Generative AI, large language models (LLM), pattern recognition, and data wrangling.
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Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
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3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Implement best practices of MLOps to ensure product health- Apply state-of-the-art techniques in deep learning, natural language processing, reinforcement learning, and computer vision to drive innovation and improve business performance.
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Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
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deep learning data processing jobs Title: data scientist in Phenix-city, Alabama
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