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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.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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HJF is seeking a Sr. ServiceNow Administrator to work under the guidance of the CIO Federal Lead and be responsible for working within the Agile methodology to support the design, delivery, and maintenance of digital workflow modules in USU's Enterprise ServiceNow platform in AWS Cloud.
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We cover every aspect of data analytics and data science, from data architecture to data engineering, visualization, predictive analytics, machine learning, and artificial intelligence. As a Data Scientist in our Homeland Security & Law Enforcement team, you will have the opportunity to support National Security clients by performing data science, analytics, statistical analysis, and machine learning.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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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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Proficient in cloud technologies (Databricks, AWS, GCP), with hands-on experience in creating Machine Learning Pipelines. Machine Learning Scientist III (NLP) page is loaded.
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If selected, you will be responsible for research, development, deployment, and enhancement of enterprise-wide analytics solutions using complex analytics techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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The Data Scientist role will have a significant role in the design and development of Aireon’s Machine Learning applications and products as well as supporting data analysis of the performance of the Aireon space-based Automatic Dependent Surveillance-Broadcast (ADS-B) air traffic surveillance system.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Lovelytics is seekinga skilled consultant and people leader with experience delivering and leading strategic Databricks and Machine Learning client engagements.
$135,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Machine Learning Integration: Integrate ML algorithms and models into chatbot systems to enhance response generation, question answering, and user engagement. Platform Integration: Collaborate with software engineers and developers and integrate chatbot systems into various platforms, such as websites, mobile apps, messaging applications, voice assistants, or CRM. Ensure seamless integration and compatibility with existing systems and APIs.
Full-timeWork from homeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Ensure seamless integration of data pipelines with various systems.
Full-timeExpandApply NowActive JobUpdated 11 days ago
administrator machine learning integration jobs in Bethesda, MD
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