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TechFlow, Inc. is hiring a skilled Data Scientist to join our team, focused on working with large federal government customers to develop advanced machine learning models for predictive maintenance and resource optimization use cases in domains that include transportation, logistics, and smart energy solutions.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Foundational Knowledge of Google Big Query, Node.js, CSS, Python, Domo, machine learning concepts. Hands-on experience working with Adobe Data Collection and integration with AEP using WebSDK.
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Responsible to advance NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The scope of the project encompasses software development, software web interface development, software integration, software configuration management, maintenance of software continuous integration environments, software containerization, development of data analysis scripts in support of evaluation of autonomous system performance, and system engineering and analysis in support of evaluation of autonomous system performance.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI. Data science / Machine Learning languages to include Python.
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
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ECS is seeking a Software Engineer to support the execution of a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval Acoustics AI/ML. This position requires strong technical leadership skills, experience with various modern software languages, machine learning architecture, and enterprise application integration.
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In this project our client is integrating off the shelf and new development efforts to sustain and enhance the architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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We're looking for a talented, collaborative, and ambitious Python Software Enginee r or Machine Learning Engineer to contribute to the development of data-intensive AI microservices and their integration with front-end applications.
Full-timeRemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Basic knowledge of developing big data applications on cloud platforms (Spark, EMR, Glue ETL, Machine Learning. 3+ years of experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, container automation) in a CI/CD pipeline.
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
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As a Backend Engineer, you will be responsible for designing, developing, and deploying secure, scalable, and reliable cloud infrastructure that houses software, machine learning models, data, and serverless functions that support mission critical operations.
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data machine learning integration jobs in Mclean, VA
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