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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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Advise patent litigation teams based on technical and scientific expertise in the field of Machine Learning. A law firm is seeking a highly qualified and experienced Machine Learning Technology Specialist to join their team in Washington, D.C. The successful candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting inventor interviews.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models. The Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. As the Databricks Technical Lead , you will play a crucial role in designing, implementing, and optimizing data processing workflows and analytics solutions using the Databricks platform.
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Prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. We are seeking an experienced Machine Learning Engineering Lead to join our team.
$128,720 - $193,080 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Successfully lead small machine-learning projects and workstreams with measurable performance enhancements under the management of an engagement lead. Lovelytics is seeking a Technical Lead (Level 4) Consultant with experience delivering strategic Databricks client engagements to join our Data & AI practice.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The Technical Applications Lead (Research Scientist/Engineer 4) supports research being conducted by faculty and graduate students in the Taskar Center for Accessible Technology. Additionally, the role of Technical Applications Lead is responsible for researching best practices and developing one instance of underlying application data tools that interface with data consumers and producers, specifically where analysis is required for the creation of data, or responding to complex queries against the database.
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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.
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machine learning technical lead jobs Title: data engineer Company: Amazon in Mclean, VA
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