Required experience and qualifications:
- Experience with Kubernetes
- Experience in operationalization of Data Science projects (MLOps) using at least one of the
popular – frameworks or platforms (e.g. Kubeflow & AWS Sagemaker).
- Good understanding of ML and AI concepts. Hands-on experience in ML model
development.
- Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and
Unix command line toolkit.
- Experience in CI/CD/CT pipelines implementation.
- Experience with AWS
Over 4 years experience in:
- Git, Linux fundamentals, and Bash scripting
- Python programming
- Container concepts: Docker & Kubernetes
- Designing & implementing Continuous Integration / Continuous Delivery pipelines (e.g.
GitLab, Argo CD)
- Infrastructure Automation: Configuration Management, Infrastructure as Code (e.g. Ansible,
Terraform, AWS CloudFormation)
- Cloud infrastructure & services (AWS, GCP, Azure)
- Cloud-native Kubernetes services (e.g. Amazon EKS, GKE, AKS)
- Monitoring, logging, and alerting tools
At least 1 year experience in:
- any of the Machine Learning areas (e.g. Computer Vision, NLP, Predictive Modelling)
- productisation of Machine Learning solutions
- working with MLOps tools (e.g. MLflow, Kubeflow, Amazon SageMaker)
General:
- Good understanding of Data Science basics (e.g. train/test model data sets, overfitting,
classification, clustering)
- Understanding of DevOps concepts and Agile practices
- Experience in working with software development teams on a daily basis
- Superior troubleshooting approach
- Good communication skills
- English at least at B2 level
We offer:
- 👨💻 Work in a team of interdisciplinary experts and technology enthusiasts, inspired by working in a flat hierarchy;
- 📈 Permanent full-time cooperation in an extraordinary company, which has been growing dynamically for more than 20 years;
- 🚀 Possibility of development in various IT projects realized for well-known and recognizable clients – leaders in their industries;
- 🥇 The ability to work with the latest technologies and the highest standards of development;
- ⌚️ Flexible working hours and a hybrid or fully remote working model (different arrangements apply in different teams, we do not impose any options);
- ☁ A number of initiatives supporting knowledge sharing and development, such as: internal training, thematic guilds, Cloud training and certification opportunities (technology partnerships in four clouds);
- 📣 Possibility to learn English or German online and English lessons for teams;
- 🏋️♂️ Multisport card and medical insurance;
- ⛵️ Sea adventures co-financed by company – we regularly sail in the Caribbean, Mediterranean or North Sea.
Perks & Benefits
Home office
Remote work from any place in the world…
Great office
… but we have also a great office with PlayStation, pool and table football!
Themed breakfast
Every Monday morning we eat for free – together.
Caribbean sea cruises
We can also take you on Fryderyk Chopin sailboat – this is awesome!
Events
We love our corporate events!
Flexible working hours
We value your time, work just has to be done.
MultiSport card
That is obvious, isn’t it?
Medical care
We want you to feel well – so we take care.
English lessons
Get a chance to improve your language skills.
Career opportunities
Everyone – regardless of the role and project – has the option of cloud certification, which we fully finance.
