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Azure AZ-900, Cloud+, CCSP or AWS Cloud Practitioner certification(s) Azure AZ-900, Cloud+, CCSP or AWS Cloud Practitioner certification(s) Experience working with Enterprise vulnerability management tools such as but not limited to: HBSS and Nessus.
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Experience with Cloud native technologies (AWS, Google Cloud, Microsoft Azure) Experience with data engineering or machine learning technologies. Apache Spark, Redshift, Snowflake, supervised and unsupervised models.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. Certified Ethical Hacker (CEH) Certification or Certified Information Systems Auditor (CISA) or Certified Information Systems Security Professional (CISSP.
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Strong knowledge of Cloudera (Hadoop, HDFS, YARN, Hive, Spark) administration and managementHands-on experience with AWS services (EC2, S3, RDS, VPC, IAM, etc. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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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.
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Five-plus years of hands-on experience with Terraform, SIEM, AWS, Single Sign On (SSO), IDP such as Okta, SAML, OIDC. You'll rely on your knowledge of Kubernetes and AWS to provide ways forward for the client while also supporting teammates and empowering product teams across the client's portfolio.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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AWS Solution Architect Associate (Optional) CGI has an immediate need for a Sr. Java Full Stack AWS Engineer to join our team in Reston, VA. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the secondary mortgage industry.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
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Machine Learning Engineer - Capital One Software (Remote) Remote (Regardless of Location): $117,400 - $134,000 for Machine Learning Engineer. At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Utilize programming languages like Java, Python, SQL, Ruby, and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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machine aws jobs Company: Pri in Vienna, VA
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