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The successful applicant will join ATR's Engineering Services Division, working as a Digital Signal Processing (DSP) Engineer/Data Scientist at the Naval Surface Warfare Center South Florida Ocean Measurement Facility, (SFOMF) located near Ft. Lauderdale, FL. Applicant will work as part of a research, design, test, and evaluation team, who will develop systems to acquire surface & sub-surface ocean sensor data and fused into a coherent picture for monitoring the underwater ocean environment.
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NPM is looking for an experienced Associate Director, AI Data Scientist / Machine Learning Engineer to join our dynamic team and drive innovation to extract, synthesize, and analyze information from unstructured clinical notes.
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We are looking for a Senior Level Geologist or Environmental Engineer who specializes in data visualization to join our team in Hampton Roads, VA, primarily serving Department of Defense clients.
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Leidos National Security Sector currently has an opportunity for Process Engineer/Research Scientist to provide process engineering support to the Combat Feeding Division at the Combat Capabilities Development Command-Soldier Center (CCDC-SC), Natick, MA in the areas of biotechnology and fermentation processes, including biochemical, catalysis, electrochemical processes relating to biosynthetic production of foodstuffs.
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Participate as a data scientist in the project team and provide agile software delivery, best-practice expertise to deliver results for an organization. Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics.
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Mechanical testing, data analysis, and nondestructive inspection for a range of geometries from material coupons to full-scale hardware including instrumentation. Apply standard practices and techniques in specific situations, correlate data, recognize discrepancies in results.
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Data Scientist (ETL) - TS/SCI w/Poly page is loaded. Data Scientist (ETL) - TS/SCI w/Poly. The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment.
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The ideal candidate will be highly versatile, blending the roles of a data scientist and data engineer, with responsibilities including exploratory data wrangling, data analysis, data modeling, data pipelining, and dashboarding.
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At least 8 years of direct work experience as an engineer, scientist, or product developer (e.g., System Integration Engineer, System Development Engineer, Product Development Engineer, Physicist, or related occupation) in an industry laboratory setting.
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We are currently searching for a Deep Learning NLP Engineer for our Sr. Staff AI Scientist role to report to our Chief Scientist. Experience in Big Data, search and chatbot technologies.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Retrieve of, storage to, and control of data to field programmable gate arrays (FPGAs), dynamic or static memory, graphical processing units (GPUs), digital signal processing (DSP) cards, or other embedded processors.
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Geologist/ Environmental Scientist responsible for sampling appropriate materials (soil, Vapor, groundwater) and reviewing and interpreting analytical data. Our south Florida region is growing and we are looking for a motivated and energetic, Sr. Staff Scientist/Geologist/ Engineer to support the South Florida region and be based in our Ft. Lauderdale, FL, or one of our other south Florida, offices.
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At least 4 years of professional experience as a Data Scientist or Machine Learning Engineer. Gain managerial experience mentoring other data scientists and engineers on topics related to machine learning and AI research and operations.
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Experience in leveraging cloud services or Cloud Certification (AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate) is a plus. A minimum of three years of developing data analytics, machine learning models (predictive models, classifications, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.
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