Responsibilities
- Develop and maintain a modern MLOps ecosystem, including automated high-performance pipelines for ML model training and serving.
- Build AI ecosystem components including AI governance inventory, AI Gateway agentic workflows, runtime, model guardrails, and evaluation frameworks.
- Support internal partners and product teams in building and maintaining robust ML/AI-based microservices.
- Contribute to engineering excellence through clean code, testing, CI/CD, code reviews, and architectural stability.
Requirements
- Production-proven experience with ML/AI ecosystems and stable ML-driven solutions.
- Proficiency in Python and familiarity with scikit-learn, PyTorch, Pandas, and FastAPI.
- Practical Docker experience and knowledge of SQL and NoSQL systems.
- Familiarity with Google Cloud Platform and infrastructure tools including Kubernetes, Helm, ArgoCD, and Terraform.
- Knowledge and application of DevOps and GitOps principles.
- Higher technical education in Computer Science or a related field.
- Polish proficiency at C1 level and English proficiency at B2 level.
- Preferred qualifications include GPU/TPU model training, fine-tuning and serving; Ray, Ray Serve, Triton, TorchServe; full model lifecycle management; LLMOps deployment, evaluation, observability and tracing; Prometheus, Grafana, OpenTelemetry; dbt; and LangGraph, ADK, and AI Guardrails.
- Openness to expanding into Java, Kotlin, React, and TypeScript.
Benefits
- Hybrid 4/1 work model with flexible start times between 7:00 a.m. and 10:00 a.m., plus 30 days of occasional remote work.
- Well-equipped offices with kitchens, bicycle parking, green terraces, ergonomic furniture, and interactive conference rooms.
- Choice of a 16-inch or 14-inch MacBook Pro or an equivalent Dell Windows computer with accessories.
- Cafeteria-plan benefits such as medical, sports, lunch, insurance, and purchase voucher packages.
- Employer-paid English classes, training budget, inter-team tourism, hackathons, and an internal learning platform.
- Additional volunteering day off and company social events.
- Access to internal developer tools and modern AI coding tools.
Tech Stack
Categories
About Allegro
Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. We operate a marketplace model which means that customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on our platform. We offer products in all key categories including Automotive, Fashion, Home&Garden, Electronics, Books and Collectibles, Kids or Health and Beauty. Each month, 22 million customers visit our platform, which is equivalent to almost 80% of all Internet users in Poland. They can choose from over 250m offers at the most attractive prices with maximum convenience including fast and free deliveries under the Allegro Smart! programme, modern financial services (Allegro Pay), as well as Poland’s widest 50k pickup points network. In 2019 we celebrated the 20th anniversary of Allegro in Poland. For over two decades, we have been serving consumers and promoting the idea of entrepreneurship in one of the most innovative areas of the economy. We have come a long way from an auction site for private individuals looking for a modern alternative to their local flea market. Today, we are a vibrant international marketplace platform for professional sellers and a must-have sales channel for top international brands and retailers. We currently employ more than 7000 employees and each of us ranks among the best experts in their field. Whether it’s in Technology, Customer Experience, Commerce, Delivery Experience or many other teams, we’re all proud to say that Allegro employs the best people on the market and all of us are ready to admit that it’s #goodtobehere. ESG Report 2022: https://allegro.pl/zobacz/esg Career at Allegro: https://jobs.allegro.eu/ Allegro Tech: https://allegro.tech/ Brand Journal: magazyn.allegro.pl Support & help: pomoc.allegro.pl // facebook.com/allegro