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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Proven experience in deploying a machine learning model to production on Azure, Google, Amazon Web Services (AWS) or similar cloud technology service suite.
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You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities.
$91,249.6 - $120,910.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with container technologies (Docker, ECR, ECS, EKS), Infrastructure as Code (IaC) tools like Terraform, and Elasticsearch is a plus. Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala.
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Data science, machine learning, optimization models, PhD 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.
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Hands on experience in developing, training, and deploying machine learning models using deep learning frameworks such as PyTorch and TensorFlow, including deployment on both CPU and GPU environments.
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Skills Required: Requires experience in the following: Linux; Agile SDLC; Data Architecture Disciplines; Microservices; Apache Kafka; Docker; J2EE; Jenkins; Spring; Hibernate; Java; Python; Shell Scripting; SQL; XML; Apache Tomcat; Bootstrap; REST; Maven; JSON; Kubernetes; Apache Zookeeper; AWS Cloud Services; Dynatrace; Cassandra; Hadoop; Hive; Oracle; Teradata; Apache Spark; Splunk; GIT; Junit; Unit Testing; Snowflake; Terraform.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka, as well as experience with data pipeline orchestration tools such as Apache Airflow, experience with Infrastructure as a Code tools such as Terraform.
$125,000 - $203,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras. We primarily employ various techniques from operations research to classical machine learning, deep learning, reinforcement learning, causal inference and statistics.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners.
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machine learning apache spark a plus jobs Company: Eightfold
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