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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. As a cyber engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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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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Quality Assurance (QA), Test and Evaluation (T&E), privacy requirements, cybersecurity, assessment of opportunities to incorporate Artificial Intelligence ("AI") and/or Machine Learning ("ML") into ODRR Test and Evaluation which may include, Predictive Analytics, Natural Language Processing (NLP) and Large Language Models (LLM), Generative AI, Training models, navigating access, compliance, privacy, and security concerns across all applicable platforms, data types, and use cases.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Advanced experience with quantitative analysis software (e.g., R, Stata), data visualization and mapping software (e.g., Tableau, Power BI, ArcGIS), and online survey software (e.g., Qualtrics) is required.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.Strong analytical and problem-solving skills.
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Possess an in-depth understanding of Vertex's security data capabilities, including Chronicle, Cyber Threat Intelligence (CTI) Feed Management, and BigQuery. Develop and maintain security data models within Vertex to facilitate efficient analysis and extraction of security threat intelligence.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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What you’ll bring to Circle:For Data Engineer (II) 2+ years of professional data engineering experience. Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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machine learning data mining jobs Title: data engineer Company: Amida Technology Solutions in Washington, DC
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