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You will be creating and building the platform that includes ingestion and transformation of data, data governance, machine learning, analytics, and consumer insights. Experience with various data warehouse technologies (MySQL, DynamoDB, Cassandra, Redshift, Snowflake.
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And one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. + Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. Senior Computer Vision & Machine Learning Engineer, Creativity Apps.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting.
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Principal Software Engineer, Natural Language Processing. We use data to wholesale high demand/high margin products and deliver them directly to our customers using electric scooters and a student-driven workforce.
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Uses hand and machine burring tools to burr, finish, or rework parts as required. Accountable for cleaning the machine before completing the shift and/or prior to moving on to another machine.
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The right person for this role should be experienced with big data technologies, high performance services, organization development, and crafting implementation for either service/data products or full stack solutions.
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EMSI currently seeks a US citizen Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to the automated search and ID of high value objects in Space Based Synthetic Aperture Radar (SAR) imagery.
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BS degree in Biology, Ecology, Botany, Natural Resources Management, or other related environmental science field required. MS degree in Biology, Ecology, Botany, Natural Resources Management, or other related environmental science field.
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Develop novel algorithms, models, and data processing schemes for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data. Experience with Artificial Intelligence/Machine Learning (AI/ML) applications for image processing.
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Train and develop skills to support with all Component Manufacturing operations in accordance with business need including Machine Operating (Manual/CNC Lathe and Mill, Router, Electric discharge machining (EDM), Saw, Metal 3D metal Printing, Bump Forming.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field. Basic understanding of statistical analysis and/or machine learning (e.g. classification & clustering techniques, regression modeling, etc.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 8+ years experience in engineering data pipelines using data technologies (Python, Databricks, pySpark, Kafka) on large scale data sets.
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Prior experience in the streaming media industry or knowledge of data and Video on Demand (VOD) and subscription-based services (SVOD) is preferred. Strong experience in detailing the data requirements, data strategy, data rules (standardization, cleanse, and validation.
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