Cosmote Global Solutions

Artificial Intelligence

• Design, implement and maintain a scalable, reliable and secure hybrid cloud ML Ops infrastructure to deploy, test, manage and monitor ML models in different environments;
• Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL) and/or Artificial Intelligence (AI);
• Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models;
• Analyse performance metrics and troubleshoot issues to ensure high availability and reliability;
• Design CI/CD pipelines, use orchestration solutions and data versioning tools;
• Creating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness.;
• Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;
• Provision of security studies, security assessments or other security matters associated with information system projects;
• Provision of support and guidance to other team members on MLOps practices.

AI/NLP/ML Expert

Full-stack Engineer

• Analyse requirements, systems and integration interfaces, including the domain of Swift message processing.
• Design, development, testing and deployment of message flows, including the area of
• - Swift message processing (MT/MX), deployed on IBM AppConnect Enterprise (ACE) and IBM
• - Transformation Extender (ITX).
• Troubleshooting, rootcause analysis and resolution of production issues with ESB services.
• Document integration solution design, configuration and deployment procedures, creating user guides and technical documentation for developers and platform engineers.
• Provide support and maintenance of IBM App Connect Enterprise (ACE), IBM
• - Transformation Extender (ITX), IBM MQ Series and WSO2 Microintegrator deployed on Linux OS and IBM MQ.
• Raise and coordinate resolution of issues with middleware provider support teams.
• Participate to the failover and disaster recovery tests.
• Automation of certain manual process using Ansible and Azure DevOps pipelines.

Senior Software Engineer

Manager

• Oversee and optimize the delivery of contracted services
• Manage service contracts and ensure compliance with service level agreements (SLAs)
• Drive continuous improvement in service delivery
• Act as the key liaison between internal teams and external vendors
• Monitor, evaluate, and enhance contract performance to ensure business objectives are met effectively
• Regular review and assessment of the contract managed services for improvement
• Review achieved versus contractually defined SLA targets
• Collaborative planning with the contract managed service company
• Monitor the performance of projects delivered in the contract
• Manage diverse projects related to operations of the unit
• Participate in and coordinate project meetings

Service Contract Performance Manager

• Analyze requirements, systems and integration interfaces, including the domain of Swift message processing
• Design, development, testing and deployment of message flows deployed on IBM AppConnect Enterprise (ACE)
• Troubleshooting, root-cause analysis and resolution of production issues with ESB services.
• Document integration solution design, configuration and deployment procedures, creating user guides and technical documentation for developers and platform engineers.
• Provide Support and maintenance of IBM App Connect Enterprise (ACE), IBM Transformation Extender (ITX), IBM MQ Series and WSO2 Micro-integrator deployed on Linux OS and IBM MQ.
• Monitor the health, performance, and availability of ESB infrastructure and services, and proactively identify and resolve issues.
• Raise and coordinate resolution of issues with middleware provider support teams.
• Perform middleware patching and upgrades.
• Participate to the failover and disaster recovery tests.
• Automation of certain manual process using Ansible and Azure DevOps pipelines.

Technical Lead

Backend Engineer

• Develop, maintain, test and deploy SpringBoot web portals, applications, components and libraries, using Java and Spring framework.
• Collaborate with team leads, tech leads business analysts, developers and other testers to understand requirements and ensure consistency and coherence of requirements;
• Deploy and monitor applications on-prem and in cloud containerized environment

Back End Engineer

SDET

• Create and manage an automation end-to-end regression suite that is run daily and on every release;
• Manage all the dependencies needed to keep this suite up & running (environments, data, endpoints);
• Proactively investigate the causes of failures in test cases and fix them;
• Collaborate with team leads, tech leads business analysts, developers and other testers to understand requirements and ensure consistency and coherence of automation suite;
• Document the automated testing test cases.

Test Automation Engineer

Frontend Engineer

• Develop, maintain, test and deploy frontend web portals, applications, components and libraries, using Javascript and React framework.
• Collaborate with team leads, tech leads business analysts, developers and testers to understand requirements and ensure consistency and coherence of requirements;
• Deploy and monitor applications on-prem and in cloud containerized environment

Front End Engineer

DevOps Engineer

• Design, deploy, manage and monitor containerized infrastructure as code (IaC) on cloud (Azure)
• Implement and maintain CI/CD pipelines using Azure DevOps for automated build, test, and deployment of applications
• Implement security best practices and compliance standards for cloud environments