Engineering
Work description
- Study and implement a distributed architecture to support the execution of MLLMs - Propose solutions to evaluate trade-offs between computation, communication, and latency - Study the state of the art in MLLMs applicable to the task of analyzing industrial machine operations - Develop and optimize the computer vision pipeline - Create a performance evaluation system for the models - Document the developed solutions
Academic Qualifications
Degree in Informatics, Electrical and Computer Engineering, Computer Science or similar
Minimum profile required
Programming experience (Python, Go, others)
Preference factors
Experience in machine learning models, image processing, computer vision or machine learning, and particularly MLLMs, OR Experience in distributed systems and distributed workload management systems. Previous research experience. Knowledge of the state of the art in the topics mentioned in this call.
Application Period
Since 02 May 2025 to 15 May 2025
Centre
Telecommunications and Multimedia