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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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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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The ideal candidate has a deep understanding of technology, risk management, site reliability engineering principles and strategic planning to design and implement resilient systems that safeguard our business from potential threats.
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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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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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You will always have the right to cease communicating via text by using key words such as STOP. Data Engineer - Remote. As a Data Engineer, you will play a pivotal role in our Data and Analytics platform team to install and run our cutting-edge data and analytics platforms.
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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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Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks. 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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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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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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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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Working with the application and security team to ensure the security and protection of data in transit and storage BS in an IT related area of study 5 years of experience with query writing and optimization 2 years of MS SQL Server administration experience Secret Clearance Preferable-Experience with: Experience in Jira administration preferred.
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What we are looking for:We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. As a Data Engineer, you will: Work with the team to design, code, and test cloud-based data pipelines to process and store large-scale datasets.
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RF Analysis Engineer Join our dynamic team, a cutting-edge data solutions company, for wireless networks, where innovation meets excellence in the realm of Radio Frequency (RF) awareness and environmental monitoring technologies.
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data deep jobs Title: engineer in Falls Church, VA
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