DevOps Engineer (AI/ML Integration)

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• Strong experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform
• Solid understanding of major cloud platforms including AWS, Azure, and Google Cloud, along with their AI and ML services
• Experience with AI oriented pipeline and workflow tools such as MLflow, Kubeflow, or Airflow
• Proficiency in scripting and programming languages including Python, Bash, and YAML
• Ability to implement automated testing frameworks for AI models and workflows
• Experience designing secure environments for AI driven systems
• Hands on experience with AI powered monitoring and diagnostics tools such as AIOps platforms or Grafana with ML extensions
• Bachelor’s degree in Engineering, IT, Science, or a related technical field
• Minimum 5 years of experience in a corporate IT environment in a similar role
• Strong communication skills and ability to collaborate with international teams

Nice to have:

• DevOps or AI/ML certifications such as Kubernetes or AWS Machine Learning Specialty
• Experience working with AIOps platforms to improve operational efficiency
• Knowledge of specialized data pipeline automation tools for machine learning use cases
• Hands on experience with AI and ML frameworks including TensorFlow, PyTorch, or Scikit learn in production environments

• Design and maintain CI/CD pipelines integrating AI and ML tools and frameworks
• Collaborate with AI teams to deploy and scale machine learning models in production environments
• Integrate AI-based monitoring, alerting, and analytics solutions to enhance pipeline visibility and enable predictive insights
• Optimize infrastructure and resource utilization for AI workloads across cloud, on premises, and hybrid environments
• Ensure strong security practices within AI driven pipeline ecosystems
• Troubleshoot pipeline and infrastructure issues, particularly those related to AI components, ensuring high availability
• Monitor system performance and implement continuous improvements using AI enhanced tools

Location: 100% remote work (Poland)