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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. About the Job: I am representing an innovative and rapidly growing company that is seeking a highly skilled Machine Learning Engineer.
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Black Canyon Consulting (BCC) is searching for QA Platform Engineer (DevOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learning.
$76,848 - $130,642 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Storage: Hadoop, Apache Spark, Apache Kafka, Elasticsearch, Cassandra, DynamoDB, MySQL, PostgreSQL. AWS Cloud Engineer. Data Storage: Hadoop, Apache Spark, Apache Kafka, Elasticsearch, Cassandra, DynamoDB, MySQL, PostgreSQL.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Hands-on programming experience in Apache Spark using Java/Scala and Spark Streaming. Java - 4, Big data Architect - 3, Spark - 4, ETL - 4. Exposure Client DLP API, Cloud Composer, Apache Nifi.
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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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Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Spark, Nvidia Triton Server, Kubernetes, YuniKorn, Kueue, Helm, AWS, EKS, EC2, S3, VPC, NLB, Ingress, Java, Go, Python, Splunk, Grafana, Prometheus, distributed systems, cloud computing, machine learning, inference, data processing frameworks, automation, optimization.
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Apache Spark Cloudera CCA Spark and Hadoop Developer CCA175. Apache Spark Databricks Certified Developer Apache Spark 2X. Working knowledge of Apache Spark and Talend would be a plus.
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machine learning apache spark engineer staff jobs Title: staff engineer Company: Lyft
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