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State Street's Bionics team has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for multiple use cases across Global Delivery, Global Advisors, Global Markets, and Global Exchange business lines.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Education Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience.
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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. 2+ years experience in computational linguistics or language data processing.
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Net, PySpark, Python, SQL NoSQL, C#, and scripting languages (Linux or Powershell); 2 years of experience in Machine Learning projects, putting in production and maintaining with MLOps methodologies; 2 years of experience in natural language processing, neural network design, machine learning forecasting, audio and image processing, and applying machine learning to IoT projects incorporating knowledge graphs; and 2 years of experience with hands-on DevOps experience on Azure services.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver effective machine learning solutions.
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Computer SkillsAdvanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics is required.
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We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
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2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
$100,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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5+ years of research experience in natural language processing, machine learning, and related fields. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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 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.
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Programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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machine learning natural language processing software engineering jobs Company: Autodesk
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