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Abile Group has an exciting and challenging opportunity for a Machine Learning Engineer on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer.
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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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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$129,300 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
$101,566 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lovelytics is seekinga skilled consultant and people leader with experience delivering and leading strategic Databricks and Machine Learning client engagements. Expert ability to work with popular NLP frameworks such as Spark NLP or Hugging Face Transformers in pytorch, tensor flow etc Experience developing Machine Learning models andML Ops processes Excellent communication skills are a MUST, all our employees are client-facing, and this role requires both written and verbal client management skills.
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That's why we need you, a Machine Learning (ML) Cloud and DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of our Agile developers creating AI products.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE) , you'll be partof an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Position Summary:As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. · Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain.
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The Robotics and Autonomous Systems Department has an exciting opportunity for a Senior Machine Learning Engineer. Your experience will allow you to influence research directions; evaluate the challenges and potential solutions for designing, developing, and fielding machine learning solutions; assess the adequacy and maturation of existing research programs and shape their technical and programmatic direction; and identify new areas where research and development are needed to strengthen the nation's growing machine learning capabilities.
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As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. Your experience includes areas such as sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, and human-machine teaming.
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This group is looking for a Machine Learning Engineer. Tittle: Machine Learning Engineer. Machine Learning Engineer. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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AMERICAN SYSTEMS is looking for an experienced Systems Engineer to lead efforts associated with integrating Mixed (XR), Augmented (AR) and Virtual Reality (VR) from a systems engineering, technical, programmatic and human-machine integration perspective.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer within our BADS team, you will work closely with science teams to bring research to production. BADS Team requires a MLE (Machine Learning Engineer) to complete productionalization of our ML models support operations efficiency gains.
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Job Title: Machine Learning Engineer. #NowHiring #Machine Learning Engineer. This is a role that combines engineering knowledge (around machine learning, natural language processing, computer vision), technical strength, and product focus.
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Background in Machine Learning frameworks such as PyTorch, TensorFlow, SparkML or Keras, Scikit Learn. Experience in Machine Learning related field, preferably Computer Vision. In-depth knowledge of image processing, statistical modeling, advanced mathematics, data integration concepts and tools.
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Title: machine Company: Assemblyai in Springfield, VA
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