requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs More ❯
helping shape enterprise cloud solutions in Azure and hybrid environments. What You’ll Do: Lead the design and implementation of enterprise-grade Azure cloud solutions, including Data Lakes, Synapse, DevOps pipelines, and analytics platforms. Define high- and low-level architecture, building secure, resilient, and cost-efficient solutions. Work with stakeholders across IT, security, and business teams to ensure alignment with More ❯
Bachelor's degree in Telecom, Computer Science, IT, or a related field - Master's in Business or Engineering preferred. Strong technical knowledge in Commercial Order Management, APIs, automation, security, DevOps, and scaled Agile practices. Managing sales management systems, system integrators, and product vendors for over 5 years; 10+ years of experience in the telecom industry, including 5 years working with More ❯
