MLOps Engineer

Svitla Systems Inc. is looking for a Senior MLOps Engineer with ML/AI for Azure for a full-time position (40 hours per week) in Ukraine and the EU. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business.Role Overview:We are looking for a DevOps Engineer with experience in deploying Machine Learning / AI in Azure. Part of a global team supporting multiple SaaS environments focused on safetyAzure as the primary cloud, with additional platforms due to rapid growth and acquisitionsActive transition from IaaS → PaaS → serverless, including AI/ML integrationFast-paced environment requiring continuous learning and adaptabilityStrong expertise in 1–2 areas (e.g. monitoring, scripting, automation) is sufficient to get startedOverlap till 1 pm EST (19:00 CET) is requiredSkills and ExperienceGood spoken and written English!Ability to communicate effectively with multiple disciplines.Strong analytical skills with the ability to drive reliability improvements.Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.Proven success managing and optimizing CI/CD for an Azure-based SaaS application.Hands-on-experience with common DevOps tools, including Azure DevOps.Strong scripting skills with at least PowerShell or Bash.Experience with configuration management tools like Terraform.Working knowledge of version control/source code management tools.Experience working in an agile software development life cycle.Working knowledge of databases including SQL and NoSQLStrong knowledge of web server configuration and management like IIS or Tomcat.Working knowledge of local and wide area networking and associated technologies, e.g. switches, routers, firewalls, VPNs.Strong understanding of security principles.Bachelor’s Degree in Computer Science or similar area of study.Experience working in a technical fast paced environment with high demand and high standards.Ability to assimilate information quickly under pressure.Strong planning skills to ensure business expectations are met and projects are delivered on time.Preferred experienceCloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc)Strong understanding of CI/CD (YAML and Classic Pipelines)PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks)Monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc)Some experience with Containers/Docker, either for a microservice-based architecture or Service-Oriented, etcGit, ARM, Terraform, Ansible, Azure CLI, or similar.Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments is a plus.ResponsibilitiesSupport application infrastructure to ensure platform is optimized for performance and reliability.Build and maintain supporting infrastructure for cloud environments and applications.Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycleIdentify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectivenessBuilding and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow),Use a wide range of Azure resources to implement scalable, reliable and cost-efficient services.Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems.Perform and automate system administration services including installation, configuration, maintenance, and disaster recoveryIdentify system-level issues related to OS configuration and virtual hardware bottlenecks.Automation, auditing, and other tooling for security, compliance, and resource usageMonitor and improve processes for all deployments.Take ownership of operational excellence to establish and maintain business focused KPI’s. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team’s success.Maintain and take ownership of your tasks each sprint ensuring time worked is logged and details are added.We offerUS and EU projects based on advanced technologies.Competitive compensation based on skills and experience.Regular performance appraisals to support your growth.Flexibility in workspace, either remote or our welcoming office.Bonuses for article writing, public talks, other activitiesGenerous time off, including vacation, national holidays, sick leaves, and family days.Personalized learning programs tailored to your interests and skill development.Free tech webinars and meetups organized by Svitla.Regular corporate online activities.Awesome team and a friendly, supportive community!