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Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus Work Environment: By joining Republic Manufacturing as our CNC Machine Shop Manager, you become an integral part of our mission to produce unparalleled products with precision and dedication.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Monitor, e-factory, iQ-family,) Care and everQ (plast check) Increase TO of service products Customer intimacy by consulting and visits Qualifications: Bachelor’s Degree in Business Management, Plastic Technology, Injection Molding Machine Maintenance or related field.
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Hands-on experience with AI technologies, such as machine learning, natural language processing, and computer vision, applied to software testing. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. As a senior developer to embrace and promote MMA (Marsh & McLennan Agency) technology standards, process, and procedures of the software development life cycle.
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Description :Joining CoreLogic means working on the cutting edge of the industry with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more.
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Stay ahead of the curve in the latest developments in AI, machine learning, and software development practices. matlab, perl, programming, python, sdet, software development engineer, software engineer.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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5+ years of experience with AWS Cloud Services 5+ years of experience in creating API using NodeJS, Python, Java, or Go developing software solutions for real world problems (Recent experience in NodeJS required) 5+ years of experience with microservices or SOA Architecture and other design patterns Experience working with Confluent Kafka, Kafka Streams, and Flink Experience with Kubernetes for containerized application tooling and deployments.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Knowledge of a variety of machine learning techniques (exploratory data analysis, supervised/unsupervised machine learning, regression, random forest, svm, boosting, cross validation, etc) - Must.
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A thorough familiarity with Machine Learning or Generative AI methodologies, leveraging platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or the Open AI API. Proficiency in utilizing front-end and back-end development tools and libraries such as React, Angular.
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Strong understanding of machine design principles. Proficiency in Inventor and AutoCAD software. Translate project requirements into detailed and accurate technical drawings using Inventor and AutoCAD.
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As a member of the Flight Systems team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception.
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