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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. A cornerstone of this roadmap is the acceleration of its data organization and adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
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5+ years Radar and RF signal processing, optimization, electronic warfare, machine learning, adaptive signal processing, algorithm development for RF sensors, test & evaluation, modeling & simulation, or systems engineering.
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Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development.
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask.
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The ISR Division’s projects focus on advanced signal processing, adaptive sensor technologies, advanced algorithms, machine learning, and modeling and simulation for applications that include airborne radar, electronic warfare, and undersea systems.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Experience with other data engineering technologies, such as Apache Spark, Kafka, or Airflow. The Snowflake Data Engineer will be responsible for designing, implementing, and maintaining Snowflake data warehouse solutions.
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To support data analytics, machine learning, and other data-driven applications, they create data processing workflows and pipelines. Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Work closely with the analytics and machine learning teams to comprehend their data requirements and translate these needs into robust data architectures.
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machine learning apache spark data processing electronic medical records jobs Title: engineer in Waltham, MA
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