Tasks:
- * Coordinate engineering teams and technical dependencies
- * Define project scope, milestones, deliverables, and acceptance criteria
- * Improve ModelOps, MLOps, and development platforms
- * Maintain project dashboards and status reports
- * Manage AI infrastructure and model engineering projects
- * Organize technical reviews and track decisions
- * Research AI technologies and analyze technical solutions
- * Track project progress, risks, resources, and issues
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [AI coding] [AI model] [AI Model Training] [Architecture Analysis] [CI/CD] [Containerization] [Data Analysis] [Fine Tuning] [Git] [Interface integration] [Linux] [Log Analysis] [MLOps] [Model Deployment] [Model Evaluation] [Model Fine-tuning] [Model Inference] [ModelOps] [Model Quantization] [Model Training] [Project Management] [Python] [Shell Scripting] [Software Engineering] [Software testing] [System Architecture] [System Architecture Analysis] [System Integration] [Technical Project Management]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Infrastructure Project Manager] [AI Technical Project Manager] [Infrastructure Project Manager] [Manager] [Program Manager] [Project Manager] [Technical Program Manager] [Technical Project Manager]