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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied Machine Learning (e.g., deep learning, natural language processing.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.
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Job Summary Location: Various, United States This position is responsible for executing maintenance and operating gas processing facilities at eight dairies in which anaerobic digester gas is processed and turned into renewable natural gas that is injected into a natural gas pipeline.
$35.29 - $44.37 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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Solid understanding of natural language processing (NLP) concepts and techniques. Leveraging your expertise in user-centered design principles, natural language processing (NLP), and conversational design methodologies, you will drive the creation of seamless and engaging user experiences that foster meaningful interactions between users and conversational interfaces.
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Natural Language Processing (NLP) This role will be tasked with applying machine learning/deep learning to the automotive industry. Machine Learning Development.
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design. Ph. D. with 8+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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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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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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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Apply classical and machine learning methods to derive insights from integrating and analyzing clinical response, tumor transcriptomic/genetic data, and radiographic image features.
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The successful applicant will have a background in modeling and simulation of subsurface systems with expertise in some of the following: (i) applied machine learning, (ii) multiscale modeling and simulation, (iii) contaminant fate and transport and/or (iv) risk assessment and uncertainty quantification.
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Experience with natural language processing (NLP) is a plus. As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions.
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Kadant serves several process industries including lithium-ion battery production, food processing, metals processing, carbon fiber, nonwovens, textiles, and construction roofing materials.
$25.7 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago
machine learning natural language processing jobs Title: specialist Company: Deloitte
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