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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Previous experience as a software engineer, applied mathematician, or in roles involving DevOps, MLOps, Databricks, and Apache Spark is highly regarded. - Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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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.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. 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.
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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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?) 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.
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Proven proficiency in data pipeline tools (e.g., Apache Airflow, Apache Kafka, Apache Spark) - Familiarity with machine learning and AI platforms. Extensive experience with data warehousing and data lake technologies (e.g., Snowflake, BigQuery, Redshift.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, 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.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Proficiency in major distributed stream processing frameworks, such as Akka Streams, Apache Spark, Apache Flink and others. Hands-on development experience with query engines or distributed database systems, such as ClickHouse, Apache Druid, Presto, BigQuery and others.
$220,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Enable Databricks Unity Catalog (UC) for lineage and governance.
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Design, develop, and maintain data pipelines using GCP services like Dataflow, Dataproc, and Pub/Sub, in addition to developing and implementing data ingestion and transformation processes using tools like Apache Beam and Apache Spark.
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The team will work with Open-Source technologies including: Scripting languages such as Python and Go. Databases such as Postgres and Arango DB. Apache products including Apache Airflow, Apache Spark, Apache AGE. Containerization software with Docker, Podman, Kubernetes, and Kubeflow.
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