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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 20 days ago - UpvoteDownvoteShare Job
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Prior experience with modern data technologies stack such as Databricks, Airflow, etc. Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc.
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About the Role Williams-Sonoma, Inc. is looking for a Marketing BI (Business Intelligence) Analyst who is responsible for processing data, developing dashboards, and extracting actionable insights for the Digital Marketing teams.
$85,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our rapidly growing Industrial market encompasses a a broad range of projects that can span from Water/Wastewater treatment, Food & Beverage processing, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Specialty chemical, Industrial Energy, Manufacturing, Automotive and Emerging Industrial Markets like EVBattery, Data Centers and Semiconductors.
$110,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Are you excited about working on large scale Generative AI, Natural Language Processing (NLP), and Deep Learning? Our data scientists are working on exciting and interesting problems in areas like Advanced RAG and retrievers, Knowledge Graphs, LLM evaluations and metrics, feedback-based learning, parameter efficient fine-tuning, reinforcement learning, LLM alignment, bias mitigation, and multilingual support.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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Be well versed in Factset, Refinitiv, S&P, CapIQ, Factiva, Westlaw, IHS, MergerMarket, Bloomberg, Dealogic and other data bases. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink. Familiarity with data integration techniques and technologies, including ETL (Extract, Transform, Load) processes and streaming data processing.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake. Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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We are seeking a motivated Junior and or Assistant Research Specialist to join Dr. Jean-Philippe Coppé's lab in the Department of Radiation Oncology at UCSF. This position is focused on processing multi-modal, high-dimensional medical data and building therapy-resistant tumor models that incorporates multi-parametric functional kinome signatures, phospho-reactome networks, and molecular data.
$68,300ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. Experienced in working within diverse teams of engineers, data scientists, and analysts to implement and maintain high-performance data-processing and data integration systems on top of data lake architecture.
$236,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You'll DoResponsible for processing and managing multiple sample assortments for online photo studio using Filemaker Pro database. Organize merchandise in preparation for seasonal photo shoots; cross-reference incoming samples against shot request data and highlight variances; track merchandise samples for various shoots simultaneously;Understand multi-brand photography pipelines and ensure sample-related milestones are met; prioritize work accordingly.
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data processing jobs in San Francisco, CA
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