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SpotHero is seeking a Senior Machine Learning Engineer to join the Data Science squad. Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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We are looking for a Machine Learning Engineer or Senior Machine Learning Engineer that will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Machine Learning Software Platform Architect page is loaded. In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Our team is seeking a senior software engineer who will be a core team member for our advertising targeting & decisioning engineering group.
$136,038 - $199,870 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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MS Office, AutoCAD, process data acquisition software (iBA PDA, Wonderware Historian (AVEVA), etc.) You will have the opportunity to develop process control schemes and PLC logic, design Human Machine Interfaces (HMI), and specify data acquisition systems (DAQs) and instrumentation that provide the required functionality for process control of aluminum cold rolling processes and ancillary equipment operation.
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Specific experience with data acquisition systems, wireless technologies, robotics integration, signal processing, machine learning, mechanical design, or product development is advantageous.
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Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation. Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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The successful candidate will function as a Product Owner and/or Release Train Engineer providing guidance and leadership of Scrum teams developing software components for intelligence data processing and analysis systems.
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Senior Software Engineer, US Risk Technology page is loaded. Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. As a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function.
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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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machine learning software engineer senior big data jobs Company: Capgemini Government Solutions Llc
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