Strefa Klienta
We are hiring for an international company located in Poland. For their developing structures we are looking for experienced candidate for the role of Big Data AI Engineer.
What's on Offer
- Working in Poznań office or 100% remotely an international and multicultural environment
- International IT career
- Availability of modern tools
- Pleasant working atmosphere
- Values and people oriented organizational culture
Job Description
- Designing automated Infrastructures that creates new auto-healing capabilities
- Creation and integration of storage technology and DFS independency into the solution landscape
- Data Pipeline development leveraging DevOps standards
- Use of Continuous Integration (CI) and Continuous Deployment (CD) to build Data Engines
- Creation of secure and private anonymization data systems using declarative programming languages that will interface between Data Silos, Data Engines and Graph Databases. These systems are fundamental for executing AI/ML workflows to accelerate drug discovery and to optimize the manufacturing processes
- Creation of holistic (e.g. integrated) data views through the ingestion, cleaning, linking, harmonization and contextualization of multiple systems. These views will enable our AI/ML work on complex high-value, multi-root cause problems
- Active involvement in all stages of the project lifecycle - from ideation to industrialization - in an Agile development environment. You will discover and develop new promising technologies in a collaborative way, create Proof-of-Concepts (POCs), Proof-of-Values (POVs) and Minimal-Viable Products (MVPs).
The Successful Applicant
- Bachelor's Degree - Engineering, Mathematics, Statistics, or Computer Science
- Minimum 5 years as a full-time software engineer
- Expertise with Data Engineering or Site Reliability Engineering
- Expertise with non-imperative paradigms - Scala, Haskell, F#, Typescript or OPA Rego
- Minimum 2 years working on Big Data platforms, preferably Spark
- Minimum 3 years deploying solutions on Cloud Platforms, preferably Azure or GCP
- Infrastructure-as-Code experience: Terraform, Ansible or Cloud templates (Azure, GCP)
- Expertise with container technologies: Kubernetes, Helm or Docker
- Professional DevOps experience: Jenkins, Azure DevOps, CI/CD or Junit
- Ability to design and implement logging, tracing, and application monitoring systems
- Experience building and maintaining APIs
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