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Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure. Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Demonstrated experience implementing machine learning models on text and multimedia data such as Spark NLP and Computer Vision models. Demonstrated experience with Apache Spark and managing Spark clusters.
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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. 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.
$112,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience with Apache Spark and related technologies. Implement best practices for data governance, security, and compliance on the Databricks platform. Proven experience working with Databricks for big data processing and analytics.
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Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated experience using big data processing tools such as Apache Spark or Trino. Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices.
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The Contractor Team shall create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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AWS Secrets Manager, AWS Certificates Manager, JBoss, Apache HTTPS, AWS Security Hub, Crowdstrike, Red Hat Enterprise Linux (RHEL), Red Hat OpenShift or other Kubernetes platforms. AWS Management and Government services, Past experience in supporting highly available applications hosted in AWS, AWS Cloud Administration, Terraform, Ansible, Amazon Machine Images (AMI), EC2 scripting, Lambda functions.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing. Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Statistical Analysis & Techniques experience:Advanced analytics techniques (regression, clustering, forecasting, simulation, machine learning)Interrogation of external or internal data sources to support analytic methods and visualization techniquesBusiness Process & Operations quantitative analysis.
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Development environment software — Apache server; MySQL Workbench; Putty/SSH; GitHub; Jira; Confluence; AWS/C2S; AWS CDK, Jenkins and CloudFormation. Knowledge of applied machine learning, to include natural language processing.
$112,420 - $191,070 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
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