Position: DevOps / Data Scientist
Category: DevOps
English level: upper
Years of experience: 2.5

I was part of two strong R&D teams being able to explore the latest research findings, experiment and implement both classic and state-of-the-art approaches.

Some facts about me:
• familiar with IaC tools (Terraform, Ansible), containerization and orchestration (Docker, Kubernetes, Helm), CI/CD (Jenkins) and cloud providers (AWS)
• have a nice understanding of machine learning & deep learning concepts and algorithms
• experience in Computer Vision projects
• are curious, have empathy, strong research skills, and love generating ideas
• have an ability to implement new ideas by finding simple and accurate problem solutions
• have experience with ML-related libraries and frameworks (PyTorch, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV etc.)
• have a degree in Engineering field
• continuous education
• experience successfully handling a few simultaneous projects
• experience in R&D projects

In addition, I've gained a wide experience in  Structural Engineering having a lot of responsibility, including 2 years of remote work directly for one of the largest British steelwork factory using cutting-edge BIM technology and a kind-of 3D parametric design. 
Moreover, there I was able to coordinate the work and solve issues with guys in the factory and managers on site, as well as promote the interests of the company on the meetings with the representatives of the main contractor and other subcontractors.
I was involved in the bunch of projects (9 projects in total) being able to: 
• read white papers, explore state-of-the-art technology, and then apply it in quick prototypes
• conduct research and build models in different fields of ML
• participate in team brainstorming sessions to help validate business ideas at an early stage
• collect, transform, and preprocess raw data to prepare it for modeling
• design, develop, train, and test models and algorithms
Briefly, I'm looking for a great team and challenging projects in DevOps field to grow together in the long run, focusing firstly on Cloud stuff. 

Interested in learning: Cloud-, DevOps-, DevSecOps-, SRE-, DataOps- and MLOps-related technologies.