Project cooperationUpdated on 25 June 2026
Scalable Data Infrastructure & MLOps
Innovation Project Manager at Experilabs
İstanbul, Türkiye
About
We design and maintain robust architectures for high-volume, real-time data orchestration, supporting distributed cloud models and Edge Computing. Our technical capacity includes building enterprise-ready MLOps and DevOps pipelines using Docker and Kubernetes to ensure AI models are scalable, maintainable, and robust. We provide the necessary digital engine to guarantee system stability and zero-outage performance, aligning all technical processes with international standards.
Similar opportunities
Expertise
Distributed Cloud-Edge architectures for intelligent IoT services
- G1-Computer science and informatics
- G2-Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering
Juan José López Escobar
Assistant Professor at Universidad Nacional de Educación a Distancia (UNED)
Madrid, Spain
Expertise
Trustworthy clinical AI, multimodal medical ML, and validation-ready research infrastructure
- S7-Education
- M1-Mathematics
- M2-Applied Mathematics
- G1-Computer science and informatics
- L1-Molecular and Structural Biology
- L4-Physiology, Pathophysiology and Endocrinology
- L7-Diagnostic tools, therapies and public health
- V4-Applied Life Sciences and Non-Medical Biotechnology
- L2-Genetics, Genomics, Bioinformatics and Systems Biology
- G3-Products and Processes Engineering: Product design, process design and control, construction methods, civil engineering, energy processes, material engineering
Abdulla Hourani
Senior ML Engineer, MD, PhD candidate at Project Quintessence
Warsaw, Poland
Project cooperation
MSCA Doctoral Network proposal in preparation | Planned submission: 2027
- Looking for Parners
- Proposal under preparation
- V1-Environment and society
- V4-Applied Life Sciences and Non-Medical Biotechnology
Francisco Rubio
Senior lecturer at IHE Delft
Delft, Netherlands