Senior Mlops Engineer with ML/AI

Our 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.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• 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 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 a 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.
• Excellent communication and collaboration skills.
• Ability to communicate effectively with multiple disciplines.
• Excellent analytical skills with the ability to drive reliability improvements.
• Strong planning skills to ensure business expectations are met, and projects are delivered on time.

Optional

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

Your responsibilities

• Support application infrastructure to ensure the 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 cycle.
• Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness.
• Build and manage 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 recovery
• Identify system-level issues related to OS configuration and virtual hardware bottlenecks.
• Provide automation, auditing, and other tooling for security, compliance, and resource usage. Monitor 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.

About the project

This is how we organize our work

What we offer

• US 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 activities
• Generous 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!

SVITLA EUROPE sp. z o.o.