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You must have hands-on experience developing large-scale distributed, fault tolerant and scalable data processing systems capable of processing terabytes of structured and unstructured data via batch with Spark, or streaming with Flink or Kafka Streams.
$124,800 - $171,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Deep Learning for NLP: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build neural network architectures for NLP tasks such as sequence modeling and language generation.
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Experience in data analysis, machine learning, deep learning and statistical modeling. Experience using deep learning libraries such as TensorFlow or PyTorch.
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Dive into internals of open-source deep learning frameworks and enhance their functionality.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Disrupt a massive market and take us to a $5B business in the next few yearsBe immersed in a talent-dense environment and greatly accelerate your career growthAbout the opportunity:We are looking for a Staff Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy.
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These research systems handle high data rate digital signal processing and beamforming, interfacing with accessory devices, memory, and networks using bare-metal and real-time processing.
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Solve complex problems building advanced software systems, while processing several petabytes of data.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Possess deep expertise in distributed computing frameworks such as Apache Spark, Hadoop, or Flink, and have hands-on experience optimizing data processing at scale. Possess knowledge of natural language processing (NLP) techniques and have worked with text data preprocessing, normalization, and feature extraction.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
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deep learning data processing jobs Title: data scientist in Austin, Phenix-city, Alabama
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