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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Processing: Proficiency in data processing tools: Azure Data Factory, Azure Databricks. Experience with Azure Machine Learning Studio, Azure ML SDK, and Automated ML.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Experience with AI/ML tooling in Azure (Azure Machine Learning, Databricks). Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients is seeking a full-time Azure DevOps Engineer.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Qualifications - Proficiency in programming languages such as JavaScript, TypeScript, Python, and CSS. - Experience with frameworks and technologies such as React, Django, FastAPI, AWS (Amazon Web Services), and Microsoft Azure.
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Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Data Fundamentals (DP-900) Demonstrated experience with Databricks, Microsoft Azure.
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SummaryLeveraging a strong background in data analytics and statistics coupled with deep agricultural knowledge, the Agricultural Data Scientist performs exploratory analysis, develops elegant and impactful data visualizations, contributes to data pipeline development, and implements machine learning algorithms to drive a positive value proposition for business stakeholders.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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machine learning data governance processing microsoft azure jobs Title: data engineer
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