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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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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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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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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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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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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 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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Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar. - 5+ years experience developing and deploying large-scale machine learning models and/or applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs.
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Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects. Related projects at IAI include multi-sensor fusion, information retrieval in big data applications, sensor simulation, text mining, image and video processing, and constrained optimization.
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data deep jobs Title: engineer in Bethesda, MD
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