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As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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NET technologies (C#, ASP.NET, ASP.NET MVC, jQuery) to develop software solutions Dynamics 365 Certification Front end web development background with Blazer, Angular and/or React Must have strong SQL skills Familiar with load testing skills such as Storm Runner.
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Basic knowledge of Front-end Software design, UI/UX interfaces. In this role, you will drive the on-time delivery for requisition projects and software upgrades. Software Engineer – Contractor Location: Houston, United States Employment type: Contract Job Title: Software Engineer – Contractor About Us HMH is a premier drilling solutions provider, delivering a broad portfolio of products and services that are designed to be the safest and most efficient in the industry.
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Perform tasks required for settlement of natural gas transportation and storage statements, reconciling volumes on EBBs to ETRM system and working with Front Office to make changes if required.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Minimum 2 (TWO) years experience in a front line capacity (medical or non-medical), in the area of customer service, receptionist, administrative assistant, personal assistant. Proficient with Nextech software.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Leading multi-discipline teams delivering conceptual, feasibility, and front end engineering studies and projects (hydrogen, ammonia, methanol, and/or SAF, and/or e-Fuels). Coordination of other front-end engineering deliverables: plot plans/preliminary 3D models; equipment data sheets; online diagrams; controls strategy/specifications; etc.
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The methodological research may include but is not limited to statistical models for integrative deconvolution and machine learning methods for prognosis and therapeutic biomarker development.
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Description Position at Catapult Learning Interventionist Teacher K-8| Part-time | Certified | Houston, TXSubject(s) : Reading and Math At Catapult Learning, we provide educational solutions that generate academic achievement and better life outcomes for students.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Partner with architecture teams to ensure end-user reporting needs are met by the existing data warehouse platform.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Software requirements: ArcGIS, Adobe Creative Suite, Microsoft Suite, Synchro, VISSIM, FREEVAL, Cube, TransCAD, PowerBI, Tableau. Knowledge of various capacity analysis software, such as Highway Capacity Software (HCS), Synchro and VISSIM.
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machine learning software front end jobs Company: Amazon Web Services Aws in Houston, TX
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