- Bloomberg (New York, NY)
- Senior MLOps Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # 10036291 **Description & Requirements** Bloomberg's ... and passion for building and maintaining AI systems to join our team. As a Senior MLOps Engineer you will design and build tools to improve the efficiency of… more
- NVIDIA (Santa Clara, CA)
- NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and product development. In this role, you ... + Mentor and guide engineering and research partners on MLOps patterns, scaling NVIDIA's impact from research to production....and the DGX Cloud Customer Success team to enhance MLOps automation continuously. What we need to see: +… more
- Motion Recruitment Partners (Washington, DC)
- Senior MLOps Engineer Washington, District Of Columbia **Hybrid** Contract $75/hr - $100/hr A client based in Arlington, VA is seeking a Senior MLOps ... Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2-3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning… more
- Red Hat (Raleigh, NC)
- …to build, optimize, and scale LLM deployments. We are seeking an experienced ML Ops engineer to work closely with our product and research teams to scale SOTA deep ... learning products and software. As an ML Ops engineer , you will work closely with our technical and...you will bring** + 2+ years of experience in MLOps , DevOps, Automation and modern Software Deployment practices +… more
- White Cap (Atlanta, GA)
- …transition from development to production. + Lead in adopting the latest MLOps methodologies, tools, and practices, continuously seeking and implementing ways to ... advance existing processes. + Manage cloud-based ML environments, leveraging platforms like Databricks, and Azure DevOps for ML model hosting and execution. + Supervise the monitoring of ML systems, ensuring performance and accuracy, and tune models for… more
- NVIDIA (Santa Clara, CA)
- NVIDIA is looking for a dedicated and motivated senior build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM ... (https://github.com/NVIDIA/Megatron-LM) and NeMo Framework (https://github.com/nvidia-nemo) ) team. Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models… more
- EBSCO Information Services (Boston, MA)
- …this global, inclusive mission. Join us to help make an impact. **Your Opportunity** As a Senior ML Ops Engineer 1, you will play a key role in designing, ... building, and maintaining production-grade machine learning (ML) pipelines and infrastructure within our AWS-based data lakehouse ecosystem. Working alongside data engineers, data scientists, and DevSecOps teams, you will operationalize ML models and ensure… more
- NVIDIA (Santa Clara, CA)
- …+ Develop and deliver interactive training sessions on NVIDIA's AI and MLOps platforms, focusing on software, support, and operational guidelines. + Create ... with a minimum of 2 years dedicated to AI software or MLOps environments. + Technical proficiency in: Linux, containerization (Kubernetes, Docker), orchestration… more
- Modernizing Medicine (Boca Raton, FL)
- …workforce across the US, Chile, and Germany. ModMed (https://www.modmed.com/company/) is hiring a Senior MLOps Engineer at Modernizing Medicine, you'll help ... Deploy and manage AI/ML models in production using modern MLOps practices. + Build and optimize serverless pipelines using...ensure compliance. + Mentor others on best practices in MLOps and scalable system design. Skills & Requirements: +… more
- CoStar Realty Information, Inc. (Sunnyvale, CA)
- …construction, and operations to documentation, appraisal, and marketing. About the Role: As a Senior MLOps Engineer at Matterport, a part of CoStar Group, ... Matterport - Senior ML Ops Engineer Job Description...efficient AI. + Contribute to the continuous improvement of MLOps practices and infrastructure for model deployment and monitoring.… more