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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Convert research-based machine learning models into production-ready software. Design and implement frameworks and tools to streamline the machine learning process.
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10+ years of software engineering, analytics development or machine learning engineering experience. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Proficient in the use of the following design tools for site engineering: AutoCAD Civil3D Hydrology Software i.e. Hydraflow, HydroCAD, PondPack Hydraulic Software i.e. Hydraflow, StormCAD, Storm and Sanitary Analysis (SSA) HEC-RAS.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Knowledge of commonly used concepts, practices, and procedures in the space hardware field including interpreting engineering drawings and sketches, JSC Electronic Document System and software and tools.
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Proficient knowledge of traffic engineering principles, methodologies, and relevant software/tools (e.g., Synchro, HCS, VISSIM). As a Project Manager in Traffic Engineering, you will be responsible for overseeing and managing a diverse range of traffic engineering projects, including TxDOT PS&E (Plans, Specifications, and Estimates) and Traffic Engineering Studies.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Stay updated on industry trends, advancements, and best practices related to precast concrete design, construction, and structural engineering, pursuing continuous learning opportunities to enhance technical skills and expertise.
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3 or more years of experience with equipment design, project engineering, plant management preferred. Track’s engineering expense & capital budgeting to meet project forecast for assigned projects.
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Review engineering documentation, vendor submittals, fabrication drawings and other submittals for compliance with engineering drawings, specifications, good engineering practice, and project objectives.
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software engineering machine learning jobs Title: senior implementation project manager in Houston, WA, Ohio
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