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8 results for Artificial Intelligence Ai Engineer in Bell Gardens, CA

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 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.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Business Intelligence (BI) Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-06-16T00:00:00Z

Software Engineer

Pasadena, CA
onsite
Temporary to Hire
45.9135 - 53.163 USD / Hourly
We are looking for a Software Engineer to join a team in Pasadena, California, on a contract basis with the potential to become permanent. This role focuses on creating reliable, high-throughput software in C++ for server-side environments where performance, responsiveness, and code quality are critical. The position is fully onsite and is well suited for an engineer who enjoys solving complex technical challenges in production systems. Responsibilities: • Design, build, and enhance C++ applications for Windows Server environments with an emphasis on stability, speed, and maintainability. • Develop software components that operate in multi-threaded and real-time or near-real-time settings, ensuring dependable performance under production workloads. • Translate architectural goals into scalable technical solutions by applying sound engineering principles and established design approaches. • Investigate defects, isolate root causes, and deliver durable fixes for complex issues affecting system behavior and application reliability. • Collaborate with cross-functional partners to implement backend services, integrations, and data-driven functionality that support broader platform needs. • Contribute to code quality practices through thoughtful implementation, peer reviews, and continuous improvement of development standards. • Support the evolution of distributed or streaming-data solutions and participate in service-based development where technologies such as gRPC or Protobuf are relevant. • Work closely with onsite team members in Pasadena, California, to deliver production-ready software aligned with business and operational requirements.
2026-07-02T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment. Responsibilities: • Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI. • Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments. • Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions. • Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization. • Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices. • Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth. • Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions. • Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business. • Administer BI platforms to maintain performance, reliability, and appropriate security controls. • Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
2026-06-16T00:00:00Z

Infrastructure Engineer

Los Angeles, CA
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
Job TitleSystems Engineer Company OverviewA well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services. Role SummaryThis on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects. Key Responsibilities<ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul>Compensation & Benefits<ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul>Additional Details<ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
2026-06-22T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-29T00:00:00Z