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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
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Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Mandatory Skills: Hadoop, Spark, Cloud, Python/Scala and Java, Streaming, Kafka, Backend, J2EE, Springboot API. Well versed with Hadoop, Spark, Cloud, Python/Scala and Java, Streaming, Kafka, Backend, J2EE.
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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Databricks - Machine learning professional (highly preferred.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Applications of artificial intelligence / machine learning / deep learning to x-ray/CT imaging. Access to clinical systems, large-scale computational resources, 3D printing, machine shop, and more.
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Data Storage technology (SSD, HDD, etc) Hands-on prototyping and programming knowledge (e.g. Python, SQL/NoSQL, Kafka, Spark, etc). Toyota s Information Technology Lab is looking for a passionate and highly motivated Principal Engineer/Researcher for conducting research in AI and/or data platforms & related software and systems for next-gen mobility services.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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BS, MS, or Ph. D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field. Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is most important.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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More specifically, you will: Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different Apple products Deploy Apple's massive computing platform with thousands of GPU's and CPU's ready just for you to establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation.
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Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow. Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
ExpandApply NowActive JobUpdated 17 days ago
hadoop kafka data machine learning jobs Company: Cardlytics in Mountain View, CA
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