Senior ML Platform Engineer - MLOps & AI

Allegro Sp. z o.o.; Województwo mazowieckie; Hybrid; PLN 200,000 - 360,000; Full time

Job summary

Allegro Sp. z o.o. seeks mid and senior ML/AI Software Engineers to build high-scale ML platforms and AI solutions for millions of users.

The role uses on-prem Kubernetes and Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow) in a hybrid setup. You will own MLOps pipelines, AI ecosystem components, and provide robust ML-based microservices, while expanding skills toward JVM or frontend to integrate across multi-product systems.

Qualifications

• Solid production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
• Proficient in Python, ML libraries (scikit-learn, PyTorch, Pandas, FastAPI) and IDEs.
• Open to expanding into JVM or frontend to integrate with multi-product system.
• Experience with Docker.
• Good analytical skills; know SQL and NoSQL.
• Know DevOps / GitOps principles.
• Familiar with cloud ecosystems (GCP preferred) and modern infra tools (Kubernetes, Helm, ArgoCD, Terraform).
• Advocates for engineering excellence: clean code, TDD, CI/CD, code reviews.
• Experience with AI ecosystem components.
• Interested in using AI coding tools to automate tasks.
• Positive attitude and teamwork; higher technical education.
• Polish at least C1 and English at least B2.

Responsibilities

• MLOps Ecosystem: develop and maintain pipelines for ML model training and serving.
• AI Enablement: build Allegro AI ecosystem including AI Gov inventory and evaluation frameworks.
• Support: assist internal partners and product teams to build robust ML/AI microservices.

Skills

Python

ML/AI

MLOps

Docker

SQL

NoSQL

Kubernetes

Terraform

CI/CD

GitOps

TDD

Polish (C1)

English (B2)

Education

BSc/MSc in CS or related

Tools

GCP

Dataflow

BigQuery ML

Vertex AI

ArgoCD

GitHub Actions

Job description

Allegro Sp. z o.o. seeks mid and senior ML/AI Software Engineers to build high-scale ML platforms and AI solutions for millions of users.

The role uses on-prem Kubernetes and Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow) in a hybrid setup. You will own MLOps pipelines, AI ecosystem components, and provide robust ML-based microservices, while expanding skills toward JVM or frontend to integrate across multi-product systems.