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The Data Analytics team at Nova is looking for a Big Data/Machine Learning Software Engineer to work with Data Scientists and other Software Engineers to gather requirements and implement solutions.
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Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
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Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C. The Roku Voice team is looking for ambitious experienced software engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems and building large scale production systems.
$303,000 - $483,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work. You're proficient with data pipeline technologies: Spark, DBT, etc.
$170,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Staff Software Engineer, you will develop on-device machine learning algorithms for our next generation Pixel Watches. 8 years of experience in software development, and with data structures/algorithms.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data systems in production: eg, Spark, Pinot, Presto. About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively.
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Senior Software Engineer, Machine Learning. Experience with advanced machine learning techniques, including LLM and generative AI. Proven familiarity and experience deploying and maintaining machine learning models (transformer based models in production is a plus), including identifying the right KPIs and objective functions.
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Software Engineer - Data Processing and Machine Learning Platform. Hewlett Packard Enterprise (HPE) is seeking an outstanding Software Lead to play a key role in developing an industry-leading HPE Greenlake data processing, analytics, and machine learning platform.
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Use Azure environment for cloud computing needs, Databricks for big data processing and Azure Data Factory for ETL operations. Design, develop, and implement machine learning models, focusing on Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems.
$129,960 - $246,240 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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A big part of our machine learning projects is understanding and analyzing the data. Experience with big data pipeline technologies such as BigQuery, SnowFlake, Spark, Kafka.
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Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive. Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.
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Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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big data jobs Title: machine learning engineer software
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