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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google's Vertex AI, Azure's AI tools, and AWS's Machine Learning services.
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Description :Joining CoreLogic means working on the cutting edge of the industry with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. You understand the data science lifecycle and are experienced in development and implementation of advanced statistical models and machine learning algorithms.
$264,480Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. We need a solid team player with enterprise level Architect experience and a background in advanced data analytics, machine learning models and artificial intelligence solutions.
$163,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Machine Learning practice designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Understanding or proven experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE. Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Deep understanding of machine learning algorithms, neural network architectures, and natural language processing techniques. - Proficiency in Python and experience with cloud-based AI services (e.g., Google Cloud AI, AWS SageMaker.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Strong knowledge of machine learning frameworks (e.g., TensorFlow, Keras, scikit-learn). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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We use these tools, and more, every day: Google Cloud Functions, Apollo GraphQL, ReactJS, Pub/Sub, multitenancy, and PyTorch. In this position, you will work across the entire technical stack, spanning front-end and back-end development, DevOps, as well as integrating machine learning and data science tools.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Strong understanding of machine learning techniques, NLP algorithms and Optical Character Recognition (OCR) CGI is seeking a Technical Lead for Artificial Intelligence and Machine Learning.
$223,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Independently create and/or Assist lead data scientists in developing various kinds of machine learning models for personalized customer service domain using state of the art ML algorithms such as GBM, XGBoost, Deep Learning etc.
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Build modern applications, data driven solutions, IoT, Machine Learning, AI, DevOps, and more with languages including: Python,. Explore different technologies and develop in cloud technologies like AWS, Azure, and Google Cloud.
$79,800 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
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