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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Utilize your knowledge in deep learning, computer vision, and natural language processing to contribute to models that efficiently extract key data. Knowledge of cloud platforms (e.g., AWS), big data processing technologies (SQL, Databricks, Spark), and web development basics.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Geotab is seeking a Senior Data Scientist, Generative AI who will Design and develop generative AI models using advanced machine learning and deep learning techniques. Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies. Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Data Science, Machine Learning, and/or Deep Learning experience. Experience leveraging big data technologies (Hadoop, Netezza, Vertica, AWS, etc) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions.
$72.23 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Exposure to AI, Deep Learning, Neural Networks, NLP. Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity.
$141,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark Understanding of foundational Machine Learning concepts and some Deep Learning basics. Strong SQL, Teradata, unix, Strong standard Big Data/hadoop skillset (Hadoop hive, sqoop, hdfs, etc) String Spark/python/scala.
$56 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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An AI & Analytics Product Manager is a hybrid role, blending product management expertise with a deep understanding of data, artificial intelligence, and machine learning. Strong understanding of AI & analytics technologies: Deep knowledge of machine learning algorithms, data mining techniques, statistical modeling, and other relevant technologies.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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