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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Working with NVIDIA strategic partners on deploying advanced machine learning and data analytics solutions in public cloud or on-premise clusters. Creating a collection of accelerated libraries for data analytics and machine learning.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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The Data Services Platform (DSP) team is building a common substrate for Cloudera's next-gen Data Services for GenAI Inferencing, Machine Learning, Data Engineering, Data Warehousing, Data Flow, Data Lake etc.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/Google Cloud Platform, Databricks). 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Certification in one or more of the following technologies: Microsoft Azure Solution Architect, Microsoft Azure Administrator, Google Professional Cloud Architect, Google Associate Cloud Engineer, AWS Certified Solutions Architect Professional, AWS Certified Solutions Architecture Associate, AWS Certified SysOps Administrator Associate.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on work with data science, data engineering, or machine learning problems within the PyData world. 6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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8+ years experience in software development, Data engineering, and Bachelors degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Strong python programming skills, expert level on using Python to process Big Data.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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We use cutting edge machine learning, data mining and optimization algorithms on this data. Continuous Learning: The field of big data is ever evolving, so a willingness to learn and adapt to new technologies and techniques is essential for staying up to date with the latest advancements in data management and analysis.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our site in Santa Clara, CA is looking for a Senior Staff Scientist - Real World Evidence and Data Science. Support digital health and data science initiatives. You will work within the Abbott Global Data Science & Analytics team with a focus on medical devices in the coronary and peripheral vascular space.
$251,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Strong familiarity with OpenCV and practical project experience, as well as proficiency in machine learning frameworks (such as PyTorch, LibTorch, TensorFlow). Image Processing and Optimization: Develop deep learning algorithms for image dehazing, denoising, shadow removal, distortion correction, and color correction to improve image quality.
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