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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Additionally, the Generative AI Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review.
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Experience with DaVinci Resolve, Final Cut Pro, and Adobe Creative Cloud (Photoshop, Illustrator, Premiere Pro, and After Effects) or comparable software. Experience with Google GSuite, SmartSheet, and Tableau data visualization.
$105,000 - $194,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the Release Train Engineer, System Architect, and Chief Engineer on the development cloud-based SW architecture and technologies. Familiar with algorithm development, SIGINT, digital communications or digital signal processing software.
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We are looking for a Pega developer having experience in Pega Application and Case design, Data Model design, Data Migration, User experience design, security, background processing, performance, deployment and testing.
$82,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
Full-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing). We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American.
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Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
$52.1 - $69.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Design Engineer, Structural Engineer, Systems Engineer, Testing, Sustainability, Engineering, Technology, Energy.
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The successful candidate will have a strong background in processing data from streaming, real-time, and batch sources using Azure technologies. Job title: Lead Azure Data Engineer / Architect.
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Experience in, or a working knowledge of Python, SQL, R, VBA, Snowflake, or Google Cloud Platform is a plus. The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
$145,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like GCP (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$131,100 - $302,400 a yearFull-timeExpandApply NowActive JobUpdated Today
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