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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands on experience in Mobile: security, app deployment, push notification,platform specific SDLC, UI/UX.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Preferred qualifications, capabilities, and skills Practical cloud native experience.
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Background and hands-on experience with Cloud technologies (Google Cloud or AWS). Etsy is hiring a Staff Machine Learning Software Engineer to join the Perso Engine Foundations squad, a platform team that supports all recommendation systems at Etsy. Our team builds and maintains core infrastructure to serve real-time machine learning recommendations that surface the most relevant and interesting listings to our buyers.
$246,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience implementing applications onto Public Cloud (AWS/Azure/Google Cloud Platform), designing, developing, and maintaining complex applications using Test Driven Development (TDD) and Behavioral Driven Development (BDD) practice (Experience with modern SDLC tools - Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift - is a plus) with hands-on experience in Kafka & MQ Messaging technologies and Hadoop (Spark, HBase, Impala.
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Stay updated with the latest trends and advancements in Big Data, Machine Learning, and cloud technologies, incorporating them into the PurpleRain platform as needed. Title: Big Data/Machine Learning Engineer.
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Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP.
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Hands-on experience with React Native. Hands-on practical experience in system design, application development, testing, and operational stability. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking under Connected Commerce team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes. My name is Bill Stevens and I have a new six month plus Data Engineer Machine Learning opportunity available for a major firm located in Bethlehem, Pennsylvania that could be of interest to you, please review my specification below and I am available at any time to speak with you so please feel free to call me.
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Hands-on experience with cloud computing using AWS, GCP or Azure. We are looking for an engineer with proven expertise in system architecture, big-data processing and graph algorithms and experience in building scalable solutions in the cloud environments.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced in one or more programming language(s) - Hands on experience in Python, Terraform and Public cloud (Azure). Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks.
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Familiarity with at least one cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/Client models in cloud environments. Train, validate, and fine-tune AI/Client models using various techniques such as deep learning, reinforcement learning, and natural language processing.
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Experience building applications on AWS, Spring Boot and Cloud native foundations. Hands on experience with SQL and NoSQL databases. As a Software Engineer within the Corporate Investment Banking Treasury Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.
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Hands-on experience with at least one major machine learning framework such as TensorFlow or PyTorch. As a Machine Learning Software Engineer, you will be responsible for training, fine-tuning, and evaluating ML models that power our consumer-focused AI applications.
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learning hands cloud jobs Title: engineer in New York, NY
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