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Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch. As a Staff Machine Learning Research Scientist you will work on some of the deepest problems in machine learning.
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PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Experience deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc. De monstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Proven experience with machine learning (deep learning), and natural language processing (NLP), including popular learning tools and frameworks. Experience in popular deep learning models (, LSTM, CNN, Resnet, Transformer, Large Language Models) and deep tabular learning models (, TabNet, TabTransformer)PREFERRED QUALIFICATIONS:PhD’s degree preferred in Computer Science, Data Science, Biomedical Informatics, a related field citizen or permanent resident preferred.
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In this role you will work across our client engagements, providing expertise in cloud computing, such as Azure Cloud including AML, ADF/Azure Cloud, Machine Learning, NLP, Bigg data procession, Depp learning, Azure/Databricks/Data Lake, ADF, Python (data wrangling, joins, cleaning, visualization, statistical learning), Azure SQL, Git, Apache Spark (cluster computing/managing.
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4+ years of hands-on experience as a data scientist working on end-to-end machine learning projects. Knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests.
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Scala, DjangoFair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performanceBasic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
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Our Innovation Labs team works on research and implementation across various advanced domains, including AI, machine learning, NLP, analytics, blockchain, and more. We're on the hunt for a highly skilled and experienced senior data scientist to lead the delivery of Generative AI solutions at the Citi Innovation Lab. We need someone who's not just knowledgeable but hands-on, with a track record in data science, Natural Language Processing (NLP), Understanding, and Generation.
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InPowered s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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NVIDIA is searching for world-class researchers in deep learning and natural language processing (NLP) to join our applied deep learning research team which pioneered the Megatron, MT-NLG, and DLSS projects at NVIDIA. Our team is pushing the boundaries of generative AI by building state-of-the-art large language and multi-modal foundation models and applying them to solve real-world problems.
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We are seeking a Machine Learning Scientist to join our team. Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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A strong technical background and understanding from working hands on with NLP, LLMs or other AI technologies, either as an MLE, a data scientist, or as part of a postgraduate degree or research program.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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