Work model: elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (3 days per week from the office)
We re looking for a skilled DevOps Engineer to join our clients dynamic ML team. The client is embarking on an ambitious program of work to deliver a number of generative and predictive AI models to optimize the work for hundreds of people in Group Financial Crime Prevention. While the client is an established and mature IT organization, working in their AI program is going to feel more like a startup! They are experimenting with methods and tooling and are seeking a number of experienced Devops engineers to help facilitate the build and deployment of our Machine Learning applications.
responsibilities :
Build and maintain CI/CD pipelines for ML applications
Collaborate with ML/Data teams to deploy and operationalize AI models
Automate deployment processes and manage containerized environments
Ensure stability and reliability of ML workloads running in AWS
Support troubleshooting and continuous improvement of the ML platform
requirements-expected :
Hands-on experience with Git
2+ years of commercial experience in Python
Solid knowledge of Bash and Linux environments
Practical experience building and maintaining Jenkins pipelines
Experience working with GitHub or Bitbucket
Daily practical use of Jira and Confluence
Hands-on experience with Docker
Good understanding of relational databases (MS SQL or Oracle)
Experience with MLflow is considered a big advantage
Working knowledge of PySpark
Experience with AWS
Experience with Hadoop ecosystem
Familiarity with artifact repositories such as Artifactory or Nexus
offered :
You can expect a flexible work organization
The international work environment will give you the opportunity to interact with the English language on a daily basis
Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
The Jit community will bring you a nice time during regular integration meetings
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
