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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary.
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MA/MS or Ph. D., or foreign equivalent degree in relevant language education field with demonstrated expertise through experience or publications in one or more of the qualifications required for language instruction at FSI (i.e., curriculum development, proficiency assessment, task-based teaching and learning, adult language learning, educational technology in FLE, etc.
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Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models.
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5+ years of experience with applying advanced statistics, including natural language processing and machine learning engineering. C#, Haskell, R, or Python. Experience with developing machine learning models or Python, C.
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with HuggingFace Transformers and other open-source NLP and NLG (natural language generation) modules (ex.
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Demonstrate experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm. Demonstrate ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc.
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Experience with Microsoft Share Point, OBIA, ETL, business analysis data, storyboarding, data storytelling, advanced statistical analytics, Python (programming language), R programming, SQL tools, business process analysis, business intelligence, analytical approach, and data visualization.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Your focus is on Machine Learning, Natural Language Processing, Neural Networks, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI. What you get to do.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience using natural language processing techniques preferred.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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learning natural language python r jobs Company: Synch Solutions in Washington, DC
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