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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 or St. Louis, MO.
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CERTIFICATES, LICENSES, REGISTRATIONS Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. JOB SUMMARY The Data Scientist – Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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A healthcare client of ours in the Philadelphia area is looking for a Machine Learning Engineer to join our Data Science team and help us build, optimize, deploy, and maintain machine learning systems and pipelines in Google Cloud Platform (GCP) production environments for Generative AI and more traditional Machine Learning projects.
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Additionally, the Learning and Development Manager will assess the effectiveness of training programs and make adjustments as necessary to ensure continuous improvement. Proven experience in learning and development, including curriculum design, facilitation, and program evaluation.
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The ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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MHP hiring a full time Recovery Learning Specialist who will facilitate recovery groups for participants in efforts to teach and support the acquisition and utilization of skills needed to enable the individual's recovery i.e., WRAP trainings, mental health advanced directives, health screens, budget management, substance use disorder groups, peer support groups, housing options and other topics of interest to the participants.
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Liaise with Archives and Collections Database managers for ongoing maintenance of Learning and Engagement files in NetX digital asset management system, respond to image and caption requests. Input, organize and maintain department’s program and constituent records in Tessitura networks, supporting Learning and Engagement data analytics, reporting, and communication processes.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Description Position at Catapult Learning School Counselor Lancaster Elementary School | Part-Time | Lancaster, CA At Catapult Learning, we provide educational solutions that generate academic achievement and better life outcomes for students.
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The Evaluation and Learning Manager deeply understands best practices for learning and evaluation in the non-profit/Youth services field and sector. Title: Evaluation and Learning Manager.
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learning job Title: machine learning scientist Company: Apple
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