Junior Machine Learning Engineer (Data Platform) @ Grupa Allegro Sp. z o. o.
Summary
Build and maintain large-scale ML platforms and AI solutions for Allegro’s 10M+ user marketplace using Python, PyTorch, and Google Cloud’s Vertex AI and Kubernetes.
We are looking for a ML/AI Software Engineer to join our team building high-scale ML platforms and advanced AI solutions, who want to create powerful and robust solutions supporting a product used by over a dozen million active users.
Our hybrid environment leverages on-prem Kubernetes infrastructure for large-scale training/serving and the full power of Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow).
- Have solid, production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
- Are proficient in Python, know libraries from the MLE’s toolchain (scikit-learn, PyTorch, Pandas, FastAPI) and easily use IDEs
- Are open to expanding coding skills into JVM languages (Java/Kotlin) or frontend (React/TypeScript) to work efficiently with other parts of our multi-product system
- Have a practical experience with Docker
- Have good analytical skills, know SQL and NoSQL
- Know and apply the DevOps / GitOps principles in their work
- Are familiar with cloud ecosystems (Google Cloud Platform preferred) and modern infrastructure tools (Kubernetes, Helm, ArgoCD, Terraform).
- Advocate for engineering excellence, including clean code, TDD, CI/CD, and a strong commitment to rigorous code reviews to maintain team architectural stability.
- Understands and have experience with AI ecosystem components
- Are enthusiastic about utilizing AI coding tools to automate repetitive tasks and optimize your daily workflow.
- Have a positive attitude, excellent teamwork skills, and a higher technical education (Computer Science or related fields).
- Speak Polish at a minimum C1 level and English at a minimum B2 level.
We are looking for a ML/AI Software Engineer to join our team building high-scale ML platforms and advanced AI solutions, who want to create powerful and robust solutions supporting a product used by over a dozen million active users.
Our hybrid environment leverages on-prem Kubernetes infrastructure for large-scale training/serving and the full power of Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow).
,(MLOps Ecosystem: Developing modern MLOps ecosystem, automating, and maintaining pipelines for ML model training and serving focusing on high-performance, AI Enablement: Building Allegro AI ecosystem, including AI Gov inventory, AI-Gateway agentic workflows, runtime, model Guardrails, and evaluation frameworks., Supporting internal partners and product teams to build and maintain robust ML/AI-based microservices.) Requirements: Python, SQL, Docker, NoSQL, DevOps, Kubernetes, Google cloud platform, AI Coding Tools Additionally: Sport subscription, Private healthcare, Free coffee, Bike parking, Playroom, Free parking, Free lunch, Modern office, No dress code.