5 machine learning operations manager jobs at 5 companies in Frederick, MD
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
Lead Artificial Intelligence/Machine Learning Engineer
Reston or Washington
OnsiteFull Time
Cherokee Federal: Provides specialized professional and technical services to federal government agencies.
8+ YOEActive TS/SCI clearance required, ability to obtain Counterintelligence polygraph, 8+ years leading AI/ML implementations, Master's in Computer Science/Data Science required, experience establishing AI operations and leading small teams.
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