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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Deep technical expertise in one or more microgrid technology areas, including: controls algorithms, supervisory control and data acquisition (SCADA), network communications, power systems engineering, power electronics, energy management, energy efficiency, power generation, distributed energy resources, renewables integration, and/or energy storage.
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As a Data Solutions Engineer, you'll design and implement complex IT systems and solutions. Preferred Certifications CompTIA Security+ TOGAF certification AWS Certified Solutions Architect – Professional Required Clearance DoD Top Secret About Us Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people.
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Process data and information as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with ML technologies. Experience using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobile.
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We provide cutting-edge SaaS technology solutions, data, and research to identify, quantity, and mitigate ad fraud and data privacy compliance risks in digital advertising. Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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The ideal candidate, while overseeing the technical work of 1-3 data and machine learning engineers, will also possess deep subject matter expertise in the areas of AI/ML infrastructure and platforms with a demonstrated history of shipping impactful at-scale AI/ML solutions into production.
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What You Need for This Position Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism). About SphereOI Studios: SphereOI Studios is an award winning digital studio that develops data responsive solutions with deep analytics and artificial intelligence.
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Description ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Scientist/Prompt Engineer to support our work across HHS and NIH. We look for someone who loves to learn and is passionate about their work.
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As a senior member of the team, you bring deep expertise in data engineering and will work closely with other infrastructure and network engineers, data scientists, and system engineers on the following key tasks:Perform Database builds, installs, configuration, administration, and troubleshooting of database systems (e.g., MariaDB/MySQL, Postgres, Elasticsearch, Qdrant, Milvus, etc.
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As an SRE you will be responsible for defining and deploying autonomous database services with deep focus on architecture, production operations, capacity planning, performance management, deployment, and release engineering.
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Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks. Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
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Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Develop data science solutions based on tools and cloud computing infrastructure. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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data deep jobs Title: engineer in Mclean, VA
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