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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts.
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3+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Reporting to Applied Science Manager, this exciting role involves working on state-of-the-art projects in Natural Language Processing (NLP), Large Language Models (LLMs), and other advanced AI methodologies.
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Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems.
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We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.
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Ability to be cross trained to inspect product and become SIA qualifiedPerform process activities including, metal etching, metal polishing of aircraft details, heat treating, engraving, shot peening, sand blasting, wire assembling/fabrication, decal/ metal-cals and metal processing, etc.
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We are growing our capabilities using artificial intelligence, natural language processing and machine learning. Providing input into initiatives to continuously improve straight through processing (STP) rates, including the use of robotics, workflow and other innovative re-engineering techniques.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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Pipeline Techs are multi-skilled employees who perform highly technical work within a geographical area on the largest interstate natural gas pipeline system in the United States. The Senior Pipeline Technician performs activities required to successfully operate and maintain Northern Natural Gas compressor stations and pipeline facilities.
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We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.
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Experience with natural language processing for legal applications. Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics.
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O Oversee the integration of software (inclusive of laboratory information systems and partner informatics), image analysis, machine learning/AI, biological and synthetic reagents, internally developed hardware systems and off-the-shelf blood processing equipment.
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Primary purpose: Monitor and control terminal components such as pumps, compressors, rotating equipment, flare, vessels, tanks, blowers, natural gas compression equipment; electrical systems; utilities systems (air, nitrogen, water sump pumps); fire protection, and hazard detection systems; and security systems at an RNG gas processing facility.
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Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry, optimization, graph theory, data science, artificial intelligence, and machine learning, with applications in sustainability, epidemiology, genetics, networks, transportation, security, and economics.
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machine learning natural language processing jobs Title: engineer research software
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