Senior ML DevOps Engineer

ullipArchitect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency. /p /lilipDevelop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility. /p /lilipDesign of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving. /p /lilipDesign security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards. /p /lilipContinuously assess and optimise system performance and scalability using advanced metrics and predictive analytics. /p /lilipCollaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities. /p /lilipEstablish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tool /p /lilipEnsure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking. /p /li /ulbr/ullipExpertise in containerisation and orchestration using bDocker /b and bKubernetes /b for scalable bapplication /b bdeployment /b. /p /lilipExpertise in bnetwork /b barchitecture /b bdesign /b, particularly integrating distributed systems with bhybrid /b bcloud /b bsolutions /b. /p /lilipComprehensive experience with brelational /b and bnon /b-brelational /b bdatabases /b, optimising them for high-volume transaction processing (e.g., Oracle, PostgreSQL, OpenSearch, MongoDB). /p /lilipProficiency with advanced monitoring tools like bPrometheus /b and bGrafana /b to enhance infrastructure monitoring and real-time alerting. /p /lilipExperience with advanced bload /b bbalancing /b solutions and caching technologies (e.g. Redis) to support high-traffic applications. /p /lilipKnowledge of bsecurity /b and bvulnerability /b bscanning /b tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust bencryption /b and bidentity /b bmanagement /b. /p /lilipProfound knowledge of bversion /b bcontrol /b bsystems /b like bGit /b and integration platforms such as bJenkins /b, bGitLab /b CI. /p /lilipProficiency in distributed streaming and message queue technologies such as bKafka /b and bRabbitMQ /b to efficiently manage data flows and support scalable data processing architectures. /p /lilipProficiency in using binfrastructure /b-bas /b-bcode /b like bTerraform /b or bAWS /b bCloudFormation /b. /p /lilipFamiliarity with configuration management tools like Ansible for comprehensive system administration. /p /lilipFamiliarity with bAI-powered /b code assistants (e.g., Amazon Kiro, GitHub Copilot) for accelerating coding processes and enhancing developer productivity. /p /lilipGood knowledge of European Commission grant management ecosystem (eGrants) would be an asset. /p /lilipStrong problem-solving and analytical skills. /p /lilipStrong organisational and time-management skills. /p /lilipStrong team spirit and experience working effectively within a collaborative team. /p /lilipCapability of integration in an international/multi-cultural environment. /p /lilipExcellent communication skills to articulate complex technical concepts. /p /lilipAttention to detail in infrastructure design and well-structured documentation. /p /lilipAbility to write clean, efficient, and maintainable code /p /li /ul