- Cisco (Washington, DC)
- ** Senior Machine Learning Engineer (MLE), Artificial Intelligence** Join us as we pursue our disruptive new vision to make machine data accessible, usable and ... part of our journey! Role: As a Machine Learning Engineer in the Artificial Intelligence group, you will be...(AWS, GCP, Azure) and serverless architecture. + Experience with MLOps platforms such as MLflow or Kubeflow. + Previous… more
- Highmark Health (Annapolis, MD)
- …data. + Develop, optimize and/or maintain machine learning and AI engineering processes ( MLOps ) that are deployed to cloud or big data environments.These may be ... based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. + Develop tasks across multiple projects with limited need for guidance. This includes providing… more
- Cardinal Health (Annapolis, MD)
- …about helping oncology practices navigate the future. We are currently hiring for a Senior Data Engineer within Navista - Data & Advanced Analytics team to ... the Integrated Oncology Network (IoN). **Job Overview:** As a Senior Data Engineer , you will help define...ML/AI solutions. All this while leveraging agile DevSecOps (DataOps, MLOps ) practices, and automation to enable speed, quality, and… more
- Akin Gump Strauss Hauer & Feld LLP (Washington, DC)
- …Europe, Asia and the Middle East. We are currently seeking an AI/ML Engineer in the Information Technology department, reporting to the Senior Applications ... deployment, support and maintenance of AI/ML solutions. The AI/ML Engineer is expected to perform all responsibilities with a...for database management and data manipulation + Knowledge of MLOps tools and platforms to automate and streamline ML… more
- Ankura (Washington, DC)
- …and test cutting edge solutions in each of our respective areas. Role Overview: As a Senior AI Engineer and Data Scientist (Director) in the Data Analytics & AI ... and deploying analytics software. + Evaluate and implement AI infrastructure, MLOps /LLMOps best practices, and cloud-based AI deployments. + Understanding the market… more