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2 results for Ai Architect in Los Angeles, CA

Machine Learning Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000.00 - 260000.00 USD / Yearly
  • RESPONSIBILITIES:<br>ML Model Deployment & Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI & LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q& A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation & CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
  • 2026-07-29T22:33:49Z
Business Analyst
  • Newport Beach, CA
  • remote
  • Permanent / Full Time
  • 125000.00 - 135000.00 USD / Yearly
  • We are looking for an experienced Business Analyst to support enterprise process improvement initiatives in Newport Beach, California. This role will work closely with operational leaders and technology teams to shape effective solutions using Microsoft Dynamics 365 Customer Engagement and the Power Platform. The position focuses on translating business goals into practical system capabilities, improving workflows, and driving measurable results across customer-facing functions.<br><br>Responsibilities:<br>• Partner with business leaders and technical teams to gather, clarify, and prioritize functional needs for Microsoft Dynamics 365 Customer Engagement initiatives.<br>• Analyze current workflows, identify process gaps, and recommend scalable improvements that increase efficiency across sales, service, and field operations.<br>• Convert business objectives into detailed requirements, user stories, process maps, and supporting documentation for delivery teams.<br>• Collaborate with developers, architects, and project stakeholders to design and refine solutions built on Dynamics 365 and Power Platform tools.<br>• Support implementation efforts by validating configurations, coordinating user acceptance testing, and ensuring solutions align with operational expectations.<br>• Help establish adoption strategies, usage standards, and governance practices that promote consistent and effective platform utilization.<br>• Facilitate communication between technical and non-technical stakeholders to keep projects aligned, informed, and moving forward.<br>• Monitor solution performance after deployment, gather feedback from users, and drive ongoing enhancements based on business value.<br>• Contribute to integration planning for Dynamics 365 with Microsoft applications, Azure services, or external systems when required.
  • 2026-07-16T18:13:42Z