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Data science, machine learning, optimization models, 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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Devops, expert, matlab, programming, project architect, senior, senior software developer, senior software engineer, software engineer lead. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Experience with machine learning and data science workflows on Databricks.
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Project: The Rebates team is looking for a GKE Data Engineer (Google Kubernetes Engine) to lead the initiative in helping them move financial/rebates data off their legacy mainframe database and settling the data within GKE. This person will help influence whether the team uses tools like Data Proc or Spark as well as Composer or Apache Airflow.
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
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Experience with Databricks/Apache Spark structured streaming, and/or Kafka experience. Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Worked on creating end to end pipelines to load data by reading it from multiple sources or source systems and load to landing layer or SQL tables. Experience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGIS.
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Dark Wolf Solutions is looking for a Senior Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. The ideal candidate will have a strong background in computer science, experience working in Agile environments, and a deep understanding of DevOps practices.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Required Skills: Extensive experience with: Software Development Processes; JavaScript; Application/Software Architecture; Apache Maven; Relational Database Mgmt Systems (RDBMS); AngularJS; Groovy; Fullstack- Java with Angular.
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machine learning open source systems engineer senior software apache spark jobs Title: senior software engineer in Mclean, VA
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