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Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts. Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc.
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Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks. As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data.
$74,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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Familiarity with text processing techniques such as natural language processing (NLP) and image processing techniques such as computer vision, and the ability to apply these techniques to extract insight from unstructured data.
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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Advanced experience with natural language processing (NLP) or computer vision (CV) applications.
$135,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.
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Lovelytics is seeking a skilled consultant and people leader with experience delivering and leading strategic Databricks and Machine Learning client engagements. Oversee the deployment of machine learning models at scale, ensuring reliability and performance.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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Research experience in machine learning, deep learning, and/or natural language processing. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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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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