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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
$160,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Amida is currently looking for a Data Scientist 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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Advance Natural Language Processing (NLP), Computer Vision (CV), and deep learning to construct sophisticated dynamic models for student learning and assessment. Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, and Keras.
$155,000 - $157,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning)Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture 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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The Applied Research Laboratory for Intelligence & Security ( ARLIS ) a University Affiliated Research Center ( UARC ) under the UMD Vice President of Research ( VPR ) seeks to hire a Natural Language Processing ( NLP ) and Data Scientist.
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Deep understanding and knowledge of data structures and software engineering principles 1-2 Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
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Deep knowledge and experience with data warehouse platforms (such as Teradata, Snowflake, and Redshift). Deep knowledge and experience with SQL, database design/structures, ETL/ELT design patterns, and data mart structures.
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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You’ll provide your client with a deep understanding of their data, what it all means, and how they can use it. Machine Learning Engineer, Senior. Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data center deep learning jobs Title: engineer Company: Nvidia in Washington, DC
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