
11 - 50 employees
Founded 2000
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Ariel Partners is a technology services and product firm that helps public sector agencies and enterprises modernize mission-critical systems using Mission Critical Agile, AI, and DevSecOps practices. The company offers cloud modernization, application services, data and AI/ML solutions, managed IT operations, test automation, governance tools, and products such as Seatbelt for Jira, and holds multiple federal contract vehicles serving federal, state & local, and commercial clients.
đ„ 2 minutes ago
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11 - 50 employees
Founded 2000
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Ariel Partners is a technology services and product firm that helps public sector agencies and enterprises modernize mission-critical systems using Mission Critical Agile, AI, and DevSecOps practices. The company offers cloud modernization, application services, data and AI/ML solutions, managed IT operations, test automation, governance tools, and products such as Seatbelt for Jira, and holds multiple federal contract vehicles serving federal, state & local, and commercial clients.
âą Engineer big data solutions and multi-tiered data environments âą Lead initiatives using big data solutions to provide actionable insights for strategic and tactical mission objectives âą Design data models using Enterprise Data modeling tools (ERwin, Visio) âą Build high-performance algorithms, prototypes, and data models using Python, C/C++, Java, Perl, or Scala âą Analyze and develop data set processes for data ingestion, modeling, and mining âą Provide AI roadmap, ROI business cases, model validation, and governance âą Support the DLA PIEE Development and Sustainment program, including modernization, legacy-code refactoring, Agile/DevSecOps delivery, AWS GovCloud operations, CI/CD automation, cybersecurity, AI/ML integration, automated testing, and performance and user-experience improvements
âą Active Secret Clearance âą Minimum 8 years of experience âą Experience engineering large scale big data deployments in Government and large commercial environments âą Experience with ML, NLP, MLOps, Python, data engineering, and responsible AI âą Experience with Hadoop-based technologies (Cloudera, Hortonworks, MapReduce, Hive, HDFS) âą Experience with NoSQL technologies (e.g., MongoDB, Cassandra) âą Experience designing data models using Enterprise Data modeling tools (ERWin, Visio) âą Experience integrating Big Data solutions with SAP technologies âą Bachelor or Master degree is required
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