DevOps Engineer with AI Integration Skills (m/k/n)
UPVANTA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Wrocław
120 - 150 zł net (+ VAT)
Wymagania
- Jenkins
- GitHub Actions
- Kubernetes
- Docker
- Terraform
- AWS
- Azure
- Google Cloud Platform
- Python
- Bash
- YAML
- Kubernetes (nice to have)
- TensorFlow (nice to have)
- PyTorch (nice to have)
Opis stanowiska
Wymagania: - Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. - Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. - Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. - Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). - Ability to implement automated testing frameworks for validating AI models and workflows. - Experience building secure environments for AI-driven systems. - Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). - Bachelor’s degree in Engineering, IT, Science, or a related technical field. - At least 5 years of experience in a corporate IT environment in a similar role. - Proven experience with DevOps tools and frameworks used in AI/ML workflows. - Strong communication skills and ability to collaborate with global teams. Mile widziane: - Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). - Experience working with AIOps platforms. - Knowledge of specialized data pipeline automation tools for machine learning. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments. O firmie: - Welcome to Upvanta, where our motto is “We Care More”. - Founded in 2018, we have grown into a dynamic IT services company with a team of over 180 dedicated professionals. Our journey has been marked by exceptional year-over-year growth, driven by our unwavering commitment to our clients. Zakres obowiązków: - Design and maintain CI/CD pipelines incorporating AI/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 tools to improve pipeline visibility and enable predictive analysis. - Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. - Ensure strong security practices within AI-driven pipeline ecosystems. - Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. - Monitor system performance and implement improvements using AI-enhanced tools. Oferujemy: - home office work - salary: 120-150 pln/h B2B