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Leverage AI and machine learning technologies, such as TensorFlow, Vertex AI, and AutoML, to enhance data insights and drive business value. Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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The role requires using AI, machine learning, data mining, and information retrieval expertise to design, prototype, build, and deploy next generation advanced analytics engines and services.
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As part of the ML architecture team, you will serve as an expert across machine learning, data sciences, and data/backend engineering, to guide the team on machine recognition, prediction, and information processing systems and platforms to organize and extract valuable insights at scale from rich and diverse datasets gathered from first, second, and third party sources.
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AWS, Python, Java, Perl, ETL tools like informatica, Snowflake, Jenkins, CI/CD, Oracle, Postgres, Machine learning, modeling tools (Erwin, Enterprise Architect, and Visio), knowledge of NoSQL and cloud computing, Hadoop technologies, Linux.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Implement Data Quality frameworks, metadata management solutions and data governance solutions.
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Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker,etc. Inviting applications for the roleof Senior Principal Consultant- Databricks Sr. Data Architect.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Define best practices and enforce standards for data quality and metadata management. Influence and govern current and future software architectural blueprints and promote architectural initiatives that makes data quality transparent and easy to access.
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Understanding of Data Engineering, Data Science, Machine Learning, and AI workflows and their optimization. As a Sr. Cloud Architect, you will design robust, secure, and maintainable solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities for the Customer, Product and Credit teams.
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NVIDIA is building the worlds leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML) , Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms.
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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data quality machine learning information architect jobs Title: architect
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