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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step in solving problems.
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Experience with deep learning, data science, and NVIDIA GPUs. Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications. Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Need Data science candidate with Data bricks and azure. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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The successful candidate would integrate in situ data, remote sensing observations, and advanced analytical tools to further our understanding of Earth System processes relevant to trace gas emissions and sinks.
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We seek outstanding candidates with teaching experience in the following: industry experience in entrepreneurship, drug/ medical device development, data science, regulatory affairs, clinical and medical affairs, quality management, project management, finance, business operations, research and development, biometrics, health economics and outcomes research or manufacturing.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Data Science activities will focus on a wide range of activities including personalized recommendation systems, sensor data analytics, signal processing algorithm development, predictive model development, etc.
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Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the Annual Security Report (ASR) is also now available for viewing at The ASR contains the current security and safety-related policy statements, emergency preparedness and evacuation information, crime prevention and Sexual Assault prevention information, and information about drug and alcohol prevention programming.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Working knowledge of thin film industry (e.g., semiconductor, data storage, display/flat panel, advanced coatings) Knowledge in vacuum science, RF power/match networks, and/or plasma processing equipment and applications.
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Proficient in using data analysis software like Excel, JMP, R and Matlab to analyze large datasets, DOE creation, and statistical methods for process data analyzing. We are looking for an experienced Process Engineer to be responsible for the CIS color process development.
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6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field. Job Title : Data Scientist ( Databrick, RAGS, Python scripting.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Publications or contributions to the data science/machine learning community. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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data science jobs Title: engineer Company: General Dynamics Information Technology in Milpitas, CA
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