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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). We are responsible for the end-to-end digital and physical Guest experience for all technology and digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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We are hiring a Senior Front End / Full Stack software engineer to build AI-first products. 4+ years experience as a Front End / Full Stack engineer. Nice to have - You have some basic affinity or interest in machine learning / deep learning / artificial intelligence.
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We're seeking a talented Front-End Engineer to join our team and help us build the next generation of anime and video game tools. [Full Time] Front End Engineer at Spellbrush (United States) | BEAMSTART Jobs.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Our thesis as technologists is that, in order to fulfill our mission to protect society from the impacts of climate change through intentional, intelligent infrastructure planning, we need to embark on a journey of respectfully listening, learning, and then problem-solving.
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Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform. Sr Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Lead end-to-end development of data tooling and frameworks, using modern technologies such as BigQuery, Apache Beam, Airflow, Dagster, dbt, Kubernetes, and Rust. We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord, in particular our product, analytics, and machine learning teams.
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Knowledge of deep learning frameworks such as Caffe, TensorFlow, Pytorch, as well as many other deep learning applications, will be a plus. Be a key player in shaping the future of compiler development and enjoy a rewarding career with ample opportunities for growth and learning.
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Advanced knowledge of Amazon Web Services (AWS) and cloud infrastructure. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning.
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We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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learning engineer end jobs Company: Amazon Web Services Aws in San Francisco, CA
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