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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Machine Learning,Python,Data Science. UST is searching for a Data Scientist who will interpret data and analyses results using statistical techniques under supervision. Play a leadership role in formulating data science strategies, identifying key opportunities to apply advanced analytics and modeling.
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Local data professionals regularly interact with our students through teaching classes, speaking at seminars, sponsoring internships, and supervising capstone projects. The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.
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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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Data Center Construction Project Manager- Owner's Rep Portland, OR. We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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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. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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10+ years of IT experience with a min of 5+ years in Data Science (AI/ML). Strong programming skills in Python with deep learning frameworks (e.g., TensorFlow, PyTorch) 5+ years of experience working on Azure Databricks.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Apache Spark™ : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
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Ability to quickly learn and apply new tools and technologies, particularly in data visualization (e.g., Power BI, Spotfire) and cloud platforms (e.g., Oracle Cloud, AWS, GCP). The solutions span AI/ML for improving manufacturing test, yield, quality & OEE, AI/ML & data analytics for sales, marketing, logistics & supply chain problems, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions.
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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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Title: data Company: Luminarehealth in Santa Clara, CA
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