4 lead java engineer jobs at 4 companies in Roseville, CA
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Lead AI / ML Engineer
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
One Inc: Digital payment and claims disbursement platform for insurance carriers.
10+ YOE5+ MgmtBachelor's degree or equivalent, 10+ years senior engineering experience including 5+ years leading managers/Staff engineers; experience building Quality Engineering CoE, CI/CD gates, automation frameworks, and AI-native quality (LLM/RAG). Payment/insurance domain preferred.
MaximusNYSE: MMS: Provides government health and human services program administration.
8+ YOEBachelor's in IT/CS/Engineering plus 8 years software QA experience including test planning, automation (Java scripts), SQL, and use of test management and CI/CD tools.
Software Architect - AI Accelerated Engineering Lead (West)
Denver or Los Angeles or Phoenix or Portland or Sacramento or San Diego or San Francisco or Seattle or Orange County or California
$133k-$237k/yrOnsiteFull Time
Slalom: Provides business and technology consulting and software engineering services.
6+ YOE6+ years building production software; experience with generative AI integration, context engineering, APIs/microservices, cloud, DevOps, and leadership/mentoring skills.