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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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Formulate and refine existing strategies specific to RAG and chatbot capabilities, ensuring that they are aligned with the Service OKRs (Objectives and Key Results) and any complementary efforts in other digital channels, and that they leverage appropriate technologies and best practices in natural language processing, machine learning, and knowledge retrieval.
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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, and Machine Learning model improvements.
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Advertising is a complex and rich problem space for a data scientist and your solutions will require the application and integration of a wide range of tools and techniques including: recommendation systems, forecasting, revenue optimization, natural language processing, and reinforcement learning as well as an understanding of how people use data products to drive decision-making.
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Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
$230,000 - $250,000 a yearFull-timeExpandUpdated 24 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced and dedicated Machine Learning Engineer to join this dynamic team on a fully remote basis. ● Develop and optimize data pipelines using SQL, BigQuery, PostgreSQL, and Cloud Data Fusion to support the end-to-end machine learning workflow.
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The Communications Surveillance Vice President role will report to the Lead of Transformation, Audit and Reporting within the Compliance Communications Surveillance function and will be instrumental in developing, deploying, and maintaining Natural Language Processing (NLP) and other model-based capabilities for the Communications Surveillance Program.
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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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We are looking for a Senior Machine Learning Engineer to work on their video stream team to improve the ML models. Our client's ML technology Stack: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, Airflow.
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Admission and Recruitment Marketing, the Generalist/Data Processing Clerk works as part of a team to. The Generalist/Data Processing Clerk will handle general. the Generalist/Data Processing Clerk will.
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Sales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
$199,700 a yearRemoteExpandUpdated 24 days ago - UpvoteDownvoteShare Job
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Some of the available technologies include Makerspace facilities for podcasting, 3D printing, crafts, and more, a combination of PC and Macintosh computers, scanners, printers, virtual reality headsets, learning hubs, and prayer and meditation rooms.
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machine learning natural language processing jobs Title: specialist Company: Deloitte in New York, NY
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