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4 results for Machine Learning Engineer in Irvine, CA
- Los Angeles, CA
- onsite
- Temporary
- 55.4135 - 64 USD / Hourly
- <p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.</p><p>• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.</p><p>• Create and maintain ETL processes to ensure data integrity and accessibility.</p><p>• Manage and monitor large-scale data processing systems, ensuring seamless operation.</p><p>• Design and deploy solutions for real-time data streaming using Apache Kafka.</p><p>• Perform advanced data analytics to support business decision-making.</p><p>• Troubleshoot and resolve issues related to data infrastructure and applications.</p><p><br></p>
- 2026-03-04T00:00:00Z
- Cheviot Hills, CA
- remote
- Temporary
- 57 - 66 USD / Hourly
- We are looking for an experienced Platform / DevOps Engineer to join our team in Los Angeles, California. This role focuses on enhancing developer workflows, maintaining platform operations, and ensuring system observability to support production environments. As part of a long-term contract, you will play a key role in optimizing cloud resources, managing access controls, and troubleshooting issues across various tools and environments.<br><br>Responsibilities:<br>• Manage user access across Atlassian tools, Azure DevOps, GitHub, and other platforms, ensuring secure and compliant permissions.<br>• Process and oversee access requests using ServiceNow and internal workflows to maintain least-privilege access.<br>• Design, maintain, and troubleshoot CI/CD pipelines within Azure DevOps and GitHub Actions.<br>• Provide support for containerized applications using Docker and Kubernetes, including environment configuration.<br>• Collaborate with Systems Engineering teams to manage cloud resources and optimize configurations in Azure.<br>• Analyze system logs and metrics using Elastic tools to identify and resolve backend service issues.<br>• Investigate and troubleshoot issues related to server environments, databases, and backend services.<br>• Partner with engineering teams to identify root causes of system failures and implement preventive measures.<br>• Participate in incident response efforts and contribute to post-incident reviews and improvements.
- 2026-03-10T00:00:00Z
- Glendale, CA
- onsite
- Temporary
- 80 - 87 USD / Hourly
- <p>We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.</p><p>If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</li></ul><p><br></p>
- 2026-03-05T00:00:00Z
- Beverly Hills, CA
- remote
- Temporary
- 70 - 70 USD / Hourly
- <p>Robert Half is currently seeking a Platform Engineer (Azure, CI/CD, DevOps) for a reputable client located in the Los Angeles, CA area. This is a 100% REMOTE opportunity. Platform Engineer (Azure, CI/CD, DevOps) will join a small, high-impact engineering team responsible for maintaining and evolving the organization’s cloud platform and deployment infrastructure.</p><p><br></p><p>Location: Remote (U.S.)</p><p>Schedule: Monday–Friday, flexible hours with 3–4 hours overlap with Mountain Time</p><p>Duration: 6-Month Contract (Likely Extension)</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and optimize cloud platform infrastructure in Azure</li><li>Develop and support CI/CD pipelines for application deployments</li><li>Contribute to the team’s migration from Azure DevOps to GitHub</li><li>Implement and maintain automation and deployment workflows</li><li>Support engineers with platform tooling and infrastructure needs</li><li>Work through engineering backlog items and platform improvements</li></ul><p><br></p>
- 2026-03-07T00:00:00Z