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Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning. We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
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10+ years of experience with artificial intelligence, data science, machine learning engineering, data or software engineering research, or data analytics, including in a professional or academic environment.
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2+ years of experience with artificial intelligence, data science, machine learning engineering, data or software engineering research, full stack engineering, or data analytics, including in a professional or academic environment.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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Rather than a pure machine-learning plus dashboards approach, we focus on opportunities to interactively support human analysts as they organize, explore, and exploit data with the assistance of machine learning and an intuitive user experience.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Leading initiatives to incorporate Machine Learning into projects and BAU activities. 1+ year of experience building Machine Learning frameworks. Professional Certification (Security+, Data+, Cyber Security Analyst+, or Systems Security Certified Practitioner.
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How modern data management environments need to be architected to future proof against new emerging and disruptive technologies, such as Data Fabric, machine-learning enabled automation, knowledge-graphs.
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Assist with machine learning and data visualization initiatives as needed. Strong background in a modern programming language, such as Python or Java, with at least 4 years of experience working in a big data and cloud environment.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
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Knowledge of machine learning, artificial intelligence, or data analytics. Experience leveraging a modern web framework (such as React or Vue) and related technologies. While responding to these challenges, you will leverage and grow your hands-on skills with software design and development, engaging in the full software engineering lifecycle using modern technologies.
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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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Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning.
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modern data machine learning jobs in Washington, DC
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