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2 results for Ai Architect in Downey, CA

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 260000.00 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • 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. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q& A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • 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. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T14:08:43Z

Senior Developer

Glendale, CA
onsite
Temporary / Contract
80.00 - 87.00 USD / Hourly
We are looking for a Senior Developer to support analytics and reporting initiatives for studio-focused stakeholders in Glendale, California. This Long-term Contract position centers on building scalable data models, executive-facing dashboards, and web-based reporting tools that turn complex operational information into clear business insight. The role blends hands-on development with close partnership across technical and business teams, requiring someone who can translate evolving needs into reliable, high-performing solutions. Responsibilities: • Design, build, and enhance dashboards, reporting products, and data visualizations that support operational teams and executive decision-making. • Develop and maintain MicroStrategy reporting assets while improving usability, accuracy, and overall system performance. • Create and evolve custom web-based analytics applications using React to deliver modern reporting experiences. • Convert business questions into technical specifications for data models, visual layers, and underlying database structures. • Support the modernization of legacy analytics solutions by moving selected reporting capabilities into a React-based framework. • Apply AI-assisted development tools to speed up prototyping, documentation, and coding tasks while preserving quality and review standards. • Partner with architects and technical leads to introduce new development practices, technology approaches, and scalable reporting solutions. • Optimize semantic models, queries, and reporting performance to ensure dependable and efficient analytics delivery. • Collaborate effectively with distributed teammates and end users to refine requirements, troubleshoot issues, and deliver useful reporting outcomes.
2026-06-04T20:43:53Z