- Acxiom (Augusta, ME)
- The Principal MLOps Engineer in the Acxiom Data Science and Machine Learning team will spearhead the development of an MLOps platform to support the ... product builds, and other complex marketing activities/ As a Principal MLOps Engineer , you will...not located in the aforementioned locations but applications for remote work may be considered. For information about this… more
- Palo Alto Networks (Santa Clara, CA)
- …kind of precision that drives great outcomes. **Your Career** We are looking for a Principal MLOps Engineer to lead the design, development, and operation of ... campus, and in office 3 days a week. Not a remote role.** **Your Impact** + Lead MLOps architecture: Design and implement scalable ML platforms, CI/CD pipelines,… more
- Red Hat (Raleigh, NC)
- …on Github. We are seeking an experienced ML Ops engineer to work closely with our product and research teams ... deep learning products and software. As an ML Ops engineer , you will work closely with our technical and...you will bring** + 10+ years of experience in MLOps , DevOps, Automation and modern Software Deployment practices +… more
- Autodesk (Springfield, IL)
- …unlock deeper customer insights and faster decision-making. The Role We're looking for a Principal (Staff) Machine Learning Engineer to help shape the future of ... ID #** 25WD90527 **Position Overview** This role can be remote within the US or Canada, though San Francisco...scalable ML or analytics solutions. Work closely with the MLOps team to productionize models and ensure real-time inference… more
- Red Hat (Boston, MA)
- **Job Summary:** The Red Hat Ecosystems Engineering group is seeking a Senior Principal Software Engineer in our Boston, MA office. In this role, you will work ... vector databases, and LLM orchestration tool + Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing… more
- Red Hat (Raleigh, NC)
- …creating and operating exceptional digital experiences across the product portfolio. As a Principal Software Engineer , you will play a pivotal role in achieving ... with AI/ML concepts, data pipelines for AI, and model operationalization ( MLOps ). + Guild Involvement: Previous experience in founding, leading, or significantly… more
- General Motors (Frankfort, KY)
- …artificial intelligence & machine learning models. As the AV Behavior and AI Safety Principal Engineer , you will need to stay current on industry best practices ... Platform (BigQuery, Dataflow, AI Platform) ) + **Deployment & MLOps :** **MLflow** , Model Monitoring & Versioning, Docker &...vehicle discounts and more. This role is categorized as remote . This means the selected candidate may be based… more
- Palo Alto Networks (Seattle, WA)
- …from development through runtime. We are looking for a highly skilled and experienced Senior Principal Engineer to join the Prisma AIRS to play a crucial part in ... office 3 days a week. This is not a remote role.** **Your Impact** + Define and drive the...and operational best practices. + Experience with machine learning (ML/ MLOps ), security, or data engineering would be a significant… more
- SAP (Palo Alto, CA)
- …Alto, CA. Hybrid is 3 days a week on-site, 2 days a week remote .** **Summary:** With over 3.6 million connected companies, the SAP Business Network powers global ... guide them to production, setting the standard for code quality and MLOps best practices. + Cross-Functional Collaboration: Partner with Product Management to assess… more
- Red Hat (Boston, MA)
- …of technologies designed for AI Engineers, Data Scientists and MLOps professionals-covering model development, model serving, data pipelines, Kubeflow components, ... may also be eligible for bonus, commission, and/or equity. For positions with Remote -US locations, the actual salary range for the position may differ based on… more
- Red Hat (Raleigh, NC)
- …and aligned with human values? Red Hat's OpenShift AI team is seeking a principal ML engineer who combines deep technical expertise with a commitment to ... edge environments. Your work will directly shape the next generation of MLOps platforms, making advanced AI technologies more accessible, secure, and ethically… more