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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. 6-10 years of relevant experience in Information Technology with 3+ years of experience as a Solution Architect.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Associates degree in engineering technology or 2+ years experience working as electro-mechanical technician. Title | Cyclotron-Engineering Technician. Ability to define problems, collect data, establish facts, and draw valid conclusions required.
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Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. Experience in machine learning workflows within DataBricks. Strong understanding of ETL, data engineering, and cloud platforms.
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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The Epic Learning Analyst II helps the accomplishments of Baylor Scott & White Health’s strategic goals by designing, developing and implementing Epic training programs using various media.
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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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Machine Learning Engineering - Dallas, TX (Hybrid) Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Leads the implementation of security controls, practices, and policies through collaboration with technical staff inside and outside Information Technology team. CISO) is a senior-level position reporting directly to the Chief Information Officer (CIO) responsible for information security/cybersecurity issues across the enterprise, working closely with senior leadership.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Under supervision of the ROC Manager, the Operator will monitor and control computer and peripheral electronic data processing equipment to analyze data and remotely operate wind turbine generators, solar assets, and battery storage assets.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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And Java, and utilizing deployment frameworks including PyTorch Mobile, ONNX Runtime, Arm NN, and CMSIS-NN; DE pioneering edge AI research, authoring academic papers in the tiny machine learning domain, and presenting findings at relevant academic and industry events; DE developing and implementing biomedical algorithms using MATLAB or Python; and DE designing experiments for the collection of regulated sensitive data.
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