9 ai and data engineer jobs at 7 companies in Camarillo, CA
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Data & AI Platform Engineer
San Ramon or Salt Lake City or Philadelphia or Chicago or Pasadena or Bellevue or Irvine or Duluth or Los Angeles or Boca Raton or Brunswick or Atlanta or Boise or El Segundo or Denver or Dallas or New York City or Los Angeles or Garden City or Nashville or St. Louis or Woodland Hills or San Jose or San Francisco or Austin
$105k-$143k/yrOnsiteFull Time
Armanino: Provides accounting, tax, and consulting services to diverse organizations.
2+ YOERequires 2+ years in data, platform, analytics engineering, or cloud operations; 1+ year accounting experience; cloud data, BI, CI/CD, scripting, SQL, governance, and AI/ML familiarity.
Microsoft Fabric, Snowflake, Databricks, Power BI, Tableau, Git, Python, PowerShell, SQL, Azure Key Vault, Azure OpenAI, AI Search
Riot Games: Developing and publishing competitive multiplayer video games.
8+ YOEBachelor's degree or equivalent, 8+ years in enterprise data/platform engineering, hands-on Databricks experience, orchestration and AI platform experience, enterprise integrations, data modeling, and strong communication skills.
Workato, n8n, Camunda, Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform, Databricks, OneStream, Workday, ServiceNow, Coupa, Concur, Oracle, IronClad, LangChain, Pydantic AI, LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, AWS, dbt, Retrieval-Augmented Generation (RAG)
New York City or San Francisco or San Jose or Seattle or Los Angeles or Washington, D.C. or Austin or Chicago or United Kingdom or United Arab Emirates or Australia
$141k-$208k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
6+ YOE2+ MgmtRequires a relevant degree, 6+ years in data analytics or BI engineering, 2+ years managing teams, SQL, DBT, Snowflake or BigQuery, BI tooling, data infrastructure, and AI/ML experience.
EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director (New York, NY, US, 10001-8604)
New York or Atlanta or Boston or Chicago or Dallas or Denver or Detroit or Houston or Los Angeles or McLean or Hoboken or Philadelphia or San Francisco or Seattle
$205k-$235k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOEBachelor's plus 5 years (or graduate degree plus ~3 years) of AI/ML engineering experience; fluency in Python and PyTorch/TensorFlow; experience with LangChain, RAG, vector DBs and production ML pipelines; strong communication and leadership skills.
EY-Parthenon - Strategy and Execution - Growth Platforms - AI/ML Engineer - Sr Associate/Consultant (New York, NY, US, 10001-8604)
New York or Atlanta or Boston or Chicago or Dallas or Denver or Detroit or Houston or Los Angeles or McLean or Hoboken or Philadelphia or San Francisco or Seattle
$130k-$185k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
2+ YOEBachelor's degree plus 2+ years (or graduate degree plus ~18 months), experience designing and deploying ML models, familiarity with LangChain, Haystack, RAG, vector DBs (Pinecone, Weaviate, Chroma), Python and PyTorch/TensorFlow, and building data pipelines and APIs.
Software Development Engineer IV - Algorithms and Scientific Data
Santa Barbara or United States
$107k-$190k/yrHybridFull Time
BrukerNASDAQ: BRKR: Develops and manufactures high-performance scientific and diagnostic instruments.
5+ YOE5+ years production software or scientific-algorithms experience, 3+ years Windows C#/C++ development, strong foundation in signal/image processing or numerical methods, experience deploying validated algorithms and using AI coding agents.
GitHub Copilot Business, VS Code, Microsoft Visual Studio, C++, STL, C#, Microsoft .NET, WPF, Python, C++/CLI, MFC
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
10+ YOE5+ Mgmt10+ years in risk management/data governance, 5+ years with technical data systems; Bachelor's in CS/engineering/analytics or equivalent; expertise in data governance, privacy, security, AI/ML and cloud data systems.
AI/ML, APIs, clean rooms, data lakes, ETL, databases, visualizations