5 machine learning operations manager jobs at 5 companies in Washington, DC
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Lead Machine Learning Engineer
Cambridge or McLean or Richmond
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree, 6+ years building data-intensive distributed systems, 4+ years programming in Python/Scala/Java, 2+ years building and scaling ML systems; experience with ML frameworks, data pipelines, and production ML operations.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
Experience in data science, machine learning, NLP, data integration, and developing predictive models; familiarity with enterprise tools and working with classified data is required.
Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science
Arlington, Virginia, United States
OnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOEU.S. citizen required. 3+ years data science experience with SQL/Python/R, machine learning/statistical modeling, and working with large complex datasets; experience with clustered processing (Hadoop/Spark) preferred.
Agile Defense: Provides IT modernization and cybersecurity for federal government agencies.
5+ YOE3+ MgmtActive TS/SCI with polygraph; typically Bachelor's and 5+ years experience (3+ supervising); proficiency in Python, Docker, Kubernetes; 3+ years in Defensive Cyber Operations and machine learning; experience with R/SQL, AWS, Linux/Windows, Jupyter.
Gormat: Provides cybersecurity and systems engineering services to government defense agencies
10+ YOERequires 10+ years experience (varies by degree), 3+ years Defensive Cyber Operations, 3+ years machine learning, proficiency in Python, Docker, Kubernetes, experience with end-to-end workflows, and ability to implement models into production. TS/SCI with polygraph required.
Python, Docker, Kubernetes, R, SQL, AWS (Amazon Web Services), Jupyter Notebooks, Network Analysis Tools, Big Data Platform (BDP), Linux, Ubuntu, CentOS, RHEL, Windows, Cisco CCNA, STIGs, IAVA