Senior MLOps Engineer with ML/AI (Azure)

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 Poland.

Description

You’ll be part of a global team supporting multiple SaaS environments that help make the world a safer place. The team uses Azure as the core platform, hosting across various environments, with a shift from IaaS to PaaS and serverless solutions while integrating new AI/ML components. The role requires applying current expertise and continuously learning to support rapidly evolving cloud and AI systems.

Requirements

• Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Proven success in managing and optimizing CI/CD for an Azure-based SaaS application.
• Hands-on experience with standard DevOps tools, including Azure DevOps.
• Expertise in scripting with at least PowerShell or Bash.
• Understanding of configuration management tools like Terraform.
• Working knowledge of version control/source code management tools.
• Experience working in an agile software development life cycle.
• Knowledge of databases, including SQL and NoSQL.
• Strong knowledge of web server configuration and management, such as IIS or Tomcat.
• Familiarity with networking technologies, including switches, routers, firewalls, and VPNs.
• Strong understanding of security principles.
• Bachelor’s Degree in Computer Science or a similar area of study.

Nice to have

• Understanding of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn and their production deployment.
• Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke architecture, Private Endpoints).
• Strong understanding of CI/CD (YAML and Classic Pipelines).
• Experience with Azure PaaS services (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks).
• Experience with monitoring tools (New Relic, LogEntries, Rapid7, Azure Monitoring).
• Experience with containers/Docker.
• Familiarity with Git, ARM, Terraform, Ansible, Azure CLI.

Responsibilities

• Support application infrastructure to ensure platform performance and reliability.
• Build and maintain infrastructure for cloud environments and applications.
• Lead the design and engineering of software systems for the AI/ML platform across the full ML lifecycle.
• Automate and streamline ML development processes.
• Build and manage enterprise AI solutions using Azure AI Foundry and Azure integrated services (Azure OpenAI, AI Search, Prompt Flow).
• Implement scalable, reliable, and cost-efficient Azure services.
• Perform and automate system administration, including installation, configuration, maintenance, and disaster recovery.
• Identify OS and virtual hardware bottlenecks.
• Provide automation, auditing, and tooling for security and compliance.
• Monitor and improve deployment processes and operational KPIs.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals.
• Flexible workspace (remote or office).
• Comprehensive medical insurance.
• MultiSport card.
• Employee referral bonuses.
• Bonuses for technical content and public activities.
• 15 vacation days, 10 national holidays, 10 sick leaves, and family days off.
• Personalized learning program.
• Free tech webinars and meetups.
• Corporate events and team meetups.