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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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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.
$80,000 - $100,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc.
$80,000 - $100,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
$310,100 - $385,900 a yearFull-timeExpandUpdated 2 months ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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E Kotlin, Scala) as well as Python development experienceExperience in Natural Language Processing, Machine Learning Ops and data pipelinesExperience with ML frameworks/libraries like PyTorch, scikit-learn, TensorFlow, etc.
$160,000ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and may utilize various tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows.
$60,000 - $65,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency with JVM language (Java/Kotlin) and experience in PythonExperience in NLP, ML-Ops and data pipelinesExperience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learnStrong understanding of ML Algorithms, Statistical techniques, and data analysis methodologiesExperience with Data processing, feature engineering and model evaluation techniques.
$150Full-timeExpandUpdated 24 days ago - UpvoteDownvoteShare Job
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REiLI , Fujifilm's artificial intelligence initiative, combines Fujifilm's rich image -processing heritage with cutting-edge AI innovations to inspire a new tier of clinical confidence.
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Solid understanding of foundational concepts and algorithms in statistics and machine learning, deep learning, and Natural Language Processing. As a Machine Learning Engineering Intern, you will work with AAG and Bain’s consulting teams to provide high quality results and software products for our clients.
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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud.
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The In-Vitro Diagnostic portfolio provides the golden standard of molecular based immunoassay technology for liver surveillance, cutting edge clinical diagnostic chemicals for leading laboratories across the country and diagnostic chemicals for OEM white labeling products.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. - Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
$120,000 - $145,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop and integrate AI models and machine learning solutions using our tech stack: Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails. Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims.
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machine learning natural language processing cutting edge jobs Title: scientist in Atlanta, GA
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