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Someone with experience developing deep learning algorithms using TensorFlow, Keras or Pytorch, and experience with OpenCV. You will report to the Director of Machine Learning. We are looking for a highly skilled Computer Vision/Machine Learning Engineer that has experience or education in image processing, machine learning, video coding & compression, and system integration.
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Masters degree and 3 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist OR. High school diploma / GED and 12 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist.
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The ideal candidate will possess a strong background in data science, machine learning, and the ability to leverage Azure's managed services and large language models (LLMs) to deliver innovative solutions Key Responsibilities: LLM and Chatbot Development Lead the design and development of LLMs and chatbots, integrating them with cloud technologies for document processing applications.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
$82,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4-6 years experience in data engineering and machine learning. Deploy production-level machine learning pipelines to impact the business of our clients. Successfully lead small machine-learning projects and workstreams with measurable performance enhancements under the management of an engagement lead.
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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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Manager, Cyber Risk & Analysis (Machine Learning) Capital One's commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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Solid understanding of machine learning techniques, deep learning architectures, and generative models (e.g., GANs, VAEs) Background in adversarial machine learning and emerging attacks like data poisoning, model extraction, membership inference, etc.
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The Financial Stability Research, Data, and Technology (RDaTA) section is seeking a Senior Data Scientist whose primary role will be to lead innovative statistical and mathematical initiatives to contribute to research and policy through the application of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and conceptual modeling.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. At least 4 years of experience leading teams developing Machine Learning solutions.
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machine learning jobs Title: learning Company: Meta in Washington, DC
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