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Expertise in scientific programming languages (e.g., Python, R) and machine learning libraries (e.g., PyTorch, Tensorflow) We seek an enthusiastic and collaborative machine learning scientist with a focus on AI/ML methods to join our Small Molecule Drug Discovery team.
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The Analytics & Machine Intelligence Engineer II will work with a team of experienced staff to design and implement new techniques in a variety of technologies, including Artificial Intelligence, Decision Support / Information Exploitation, Natural Language Processing, Human-Machine teaming, Automation, etc.
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IoT Technologies - Docker, MQTT, AMQP Web development - Experience in UI/UX practices, Web API Services, Security Principles Automation - Automation Protocols (Modbus, EthernetIP), OPC, PLC's, instrumentation Has built/worked on a Hi-Trust compliant solution.
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As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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The Robert E. Morris Company is a division of Morris Group, Inc. supplies CNC machine tools, tooling, accessories, software, automation, and more to manufacturers of precision machined parts.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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To do this, we are gathering a team with highly diverse skills and experiences, ranging from genetic engineering, plant cell culture, sterile process development, bioreactor design, mathematics, statistics agriculture, high-performance automation, stylists, illustrators, fashion designers, creative business development, marketing and branding strategies.
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The Solution Development Executive will primarily focus on successfully supporting net new revenue by providing specialist expertise for digital solutions within the Sales process, utilizing platforms such as digital conversion, machine learning, workflow process automation, information governance, and data back-up and cyber event solutions.
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Develops and deploys Machine Learning (ML) enabled products and services at scale using Deep Learning (DL) methodologies related to document automation, computer vision, and natural language models.
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This understanding centers biology as our North Star and drives our integration of artificial intelligence (AI), computation, and biological automation to accelerate the design of small molecule and protein therapeutics.
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Our team is growing, and we are looking for a Full-Stack Engineer who is passionate about building scalable systems and has a keen interest in machine learning and artificial intelligence. Experience with machine learning/artificial intelligence is highly desirable.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Trend Vigilance: Stay abreast of emerging breakthroughs in AI, machine vision, 6-axis robotic manipulators, and industrial automation. At the heart of our mission lies the integration of cutting-edge AI with machine vision and the precision of 6-axis robotic m anipulators ( arms.
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Participate in new feature and automation development, write unit test, self test and QA software, continuously deliver high quality engineering results. Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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The incumbent is responsible for development of testing strategy (manual and automated), QA framework that supports agile, waterfall, and hybrid delivery methodologies across the digital portfolio of products including but not limited to N-tier enterprise applications, mobile apps, middleware, webchat, SMS, email marketing, low-code, digital signatures, robotic process automation, analytics/advanced analytics, machine learning, artificial intelligence, and other emerging digital technologies.
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