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Applied Scientist
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Bellevue, United States Amazon.com Services LLC Full timeConversational AI ModEling and Learning (CAMEL) team is part of Amazon Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the...
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Bellevue, United States Amazon Full timeApplied Scientist, Conversational AI Modeling and Learning Job ID: 2725269 | Amazon.com Services LLC The Conversational AI Modeling and Learning (CAMEL) team is part of Amazon's Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We develop...
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Bellevue, Washington, United States Amazon Full timePosition OverviewAs a Senior Applied Scientist within the Conversational AI Modeling and Learning (CAMEL) team, you will play a pivotal role in the Amazon Artificial General Intelligence (AGI) organization. Our goal is to develop an exceptional Conversational AI that is not only intelligent but also highly responsive. You will contribute to the creation of...
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Data Engineer
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Bellevue, United States Protingent Full timeData EngineerContractLocation: Bellevue, WAPay Rate Range: $70 – 90/hrJob Responsibilities:Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake...
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Machine Learning Engineer
1 month ago
- Design, develop, and deploy machine learning pipelines, including feature engineering, model training, and inference.
- Scale machine learning algorithms to handle massive datasets and meet stringent SLAs.
- Build and enhance ML engineering platforms and components.
- Implement robust ML Ops practices, including model monitoring, evaluation, and retraining.
- Write clean, efficient, and well-tested code.
- Collaborate effectively with cross-functional teams, including data scientists, engineers, and product managers.
- Stay up-to-date with the latest advancements in machine learning and AI.
- Bachelor's or master's degree in computer science, Statistics, or a related field.
- 2-4 years of experience in machine learning model development and deployment.
- Strong programming proficiency in Python and PySpark.
- Experience with ML platforms (e.g., Dataiku, SageMaker, MLflow).
- Expertise in cloud platforms (AWS, Azure, GCP) for model deployment.
- Solid understanding of machine learning algorithms and techniques.
- Proficiency in data structures, algorithms, and software design patterns.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with Spark or other distributed computing frameworks.
- Knowledge of DevOps, CI/CD, and data security.
- Experience with data engineering in big data systems.